HIGHER SECONDARY FIRST YEAR MATHEMATICS. ALGEBRA Creative Questions Time : 1.15 Hrs Marks : 45 Part - I Choose the correct answer 10 1 = 10.

Size: px
Start display at page:

Download "HIGHER SECONDARY FIRST YEAR MATHEMATICS. ALGEBRA Creative Questions Time : 1.15 Hrs Marks : 45 Part - I Choose the correct answer 10 1 = 10."

Transcription

1 HIGHER SEONDARY FIRST YEAR MATHEMATIS ALGEBRA eative Questios Time :. Hs Maks : Pat - I hoose the coect aswe =. The co-efficiet of middle tem i the epasio of is a) b)...( )! c).6,...( ) d) Noe of these. The umbe of ways i which 6 me ad wome ca die at a oud table if o two wome ae to sit togethe is give by a) 6!! b) c)!! d) 7!!. Si idetical cois ae aaged i a ow. The total umbe of ways i which the umbe of heads is equal to the umbe of tails, is a) 9 b) c) d). I a eamiatio thee ae thee multiple choice questios ad each questio has choices of aswes i which oly oe is coect. The total umbe of ways i which a eamiee ca fail to get all aswes coect is a) b) c) 7 d) 6. A fathe with 8 childe takes at a time to the zoological Gades, as ofte as he ca without takig the same childe togethe moe tha oce. The umbe of times he will go to the gade is a) 6 b) c) 6 d) 6. If the lettes of the wod SAHIN ae aaged i all possible ways ad these wods ae witte out as i dictioay, the the wod SAHIN appeas at seial umbe a) 6 b) 6 c) 6 d) 6 7. The total umbe of tems i the epasio of ( a) ( a) afte simplificatio, a) b) c) d) 8. If the seveth tems fom the begiig ad the ed i the epasio of ae equal the equals ae a) 9 b) c) d) 8

2 9. Assetio : The umbe of ways of distibutig idetical balls i distict boes such that o bo is empty is Reaso : The umbe of ways of choosig ay places fom 9 diffeet places is 9 A. If both Assetio & Reaso ae Tue & the Reaso is a coect eplaatio of the Assetio. B. If both Assetio & Reaso ae Tue but Reaso is ot a coect eplaatio of the Assetio.. If Assetio is Tue but the Reaso is False. D. If both Assetio & Reaso ae False. a) A b) B c) d) D 7 7. Assetio : Fo each atual umbe, ( ) is divisible by 7 Reaso : Fo each atual umbe, 7 A. If both Assetio & Reaso ae Tue & the Reaso is a coect eplaatio of the Assetio. B. If both Assetio & Reaso ae Tue but Reaso is ot a coect eplaatio of the Assetio.. If Assetio is Tue but the Reaso is False. D. If both Assetio & Reaso ae False. a) A b) B c) d) D Pat - II Aswe ay thee of the followig questios = 6. How may ways i which 7 pesos ca be seated at a oud table if two paticula pesos ae ot to sit togethe. Detemie the maimum umbe of poits of itesectio of 8 cicles. Fid a if the 7 th ad 8 th tems of the epasio ( a) ae equal. If fid. 8! 9!!. Fid the sum of the seies... Pat - III Aswe ay thee of the followig questios = 9 6. Fid the umbe of ectagles ecludig squaes fom a ectagle of size. 7. If the sum of the biomial coefficiets i the epasio of Idepedet tem is 6, the fid the

3 8. Fid the lagest tem i the epasio of ( ) whee = 9. Fid if P 6 P. If all pemutatios of the lettes of the wod AGAIN ae aaged as i dictioay, the fid the th wod. Pat - IV Aswe ay fou of the followig questios =. If, ad the fid. If the thee successive coefficiets i the Biomial epasio of ( ) ae 8, 6 ad 7 espectively, the fid. Fid the umbe of itegal tems i the epasio of 6 8. I a eamiatio, a questio pape cosists of questios divided ito two pats i.e., Pat I ad Pat II, cotaiig ad 7 questios, espectively. Astudet is equied to attempt 8 questios i all, selectig at least fom each pat. I how may ways ca a studet select the questios?. Pove that..., N by mathematical iductio method ***** T. Ayyaa, M.Sc., B.Ed., D.P.Tech Istucto (Mathematics) SBGGHSS, Puduchey 6 akathik@gmail.com ell: 78976,

4 Q.No Optios b a b d c 6 d HIGHER SEONDARY FIRST YEAR MATHEMATIS ALGEBRA eative Questios Aswes ad Solutios Pat - I 7 b 8 b 9 a a Pat II. Total o of ways 7 pesos seated at a oud table = ( 7 )! No of ways fo two pesos sit togethe = ( 6 )! =! = = 6! = 7 No of ways fo two paticulas pesos ot sit togethe = 7. No of itesectio poits = No of tiagles No of tiagles = 8 = 6 = 8. T a 6 6 a

5 T a 7 7 a T7 T 8 a a 7 6 a ! 9 8! 9 8! 9 9. ( ) =... put = = = 9 = Pat III p 6. No of ectagles = ( p )( ) p =, = (sice ) No of ectagles = 6 = 66 No of squaes = ( p )( ) = 66 No of ectagles ecludig squaes = = 9

6 7. Sum of biomial coefficiets = T 6 Idepedet tem Idepedet tem is 6 = 6 = 6 T ( ) 8. T ( ) ( = ) (6 ) () = The lagest tem = th tem 9. P P 6! (6 )! ( )!! 6 8 o 6 6. I a dictioay a wod stat with A - A(AGIN) No of ways =! = A wod stat with G - G(AAIN)! No of ways = =! A wod stat with I - I(AAGN)

7 No of ways = =! Total ways = ++ =8 9th wod stat with N is NAAGI th wod is NAAIG Pat IV.! ( )!( )!! ( )!! ( ) 9 9 ( )! ( )!!! 8 ( )!( )! ( ) 8 8( ) ( ) Solve ad =, = 8. Let the thee success tems be,,! ( )!( )!! ( )!! 6 8

8 ( ) ( ) 7 6! ( )!( )!! ( )!( )! ( ) ( ) ( ) ( ) 9 Solve ad = 8, = T T The above tems will be atioal if epoet of ad ae iteges 6 It meas ad must be iteges 8 The possible values of is,8,6,...6= tems. Pat I Pat II 7 ombiatios Total Selectios Total.

9 Let P() deote the statemet..., N put = P() is tue Assume that P(k) is tue P( k) k... k To pove: P(k+) is tue... k ( k ) ( k ( k k 6k ) ( k ) ( k ) k ( k ) k P(k+) is tue By the piciple of Mathematical iductio, P() is tue fo all N..., N ) T. Ayyaa, M.Sc., B.Ed., D.P.Tech Istucto (Mathematics) SBGGHSS, Puduchey 6 akathik@gmail.com ell: 78976,

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS www.sakshieducatio.com PERMUTATIONS AND COMBINATIONS OBJECTIVE PROBLEMS. There are parcels ad 5 post-offices. I how may differet ways the registratio of parcel ca be made 5 (a) 0 (b) 5 (c) 5 (d) 5. I how

More information

Probability II. Overview. A Closer Look at Events The Probability of an Event. Dr Tom Ilvento Department of Food and Resource Economics

Probability II. Overview. A Closer Look at Events The Probability of an Event. Dr Tom Ilvento Department of Food and Resource Economics Oveview Pobability II D Tom Ilveto Depatmet of Food ad Resouce Ecoomics We will cotiue ou jouey though pobability This ivolves Moe tems!!! Defiig Evets Ways to lay out the sample space I will also give

More information

PERMUTATION AND COMBINATION

PERMUTATION AND COMBINATION MPC 1 PERMUTATION AND COMBINATION Syllabus : Fudametal priciples of coutig; Permutatio as a arragemet ad combiatio as selectio, Meaig of P(, r) ad C(, r). Simple applicatios. Permutatios are arragemets

More information

Ch 9 Sequences, Series, and Probability

Ch 9 Sequences, Series, and Probability Ch 9 Sequeces, Series, ad Probability Have you ever bee to a casio ad played blackjack? It is the oly game i the casio that you ca wi based o the Law of large umbers. I the early 1990s a group of math

More information

Chapter (6) Discrete Probability Distributions Examples

Chapter (6) Discrete Probability Distributions Examples hapter () Discrete robability Distributios Eamples Eample () Two balaced dice are rolled. Let X be the sum of the two dice. Obtai the probability distributio of X. Solutio Whe the two balaced dice are

More information

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1

}, how many different strings of length n 1 exist? }, how many different strings of length n 2 exist that contain at least one a 1 1. [5] Give sets A ad B, each of cardiality 1, how may fuctios map A i a oe-tooe fashio oto B? 2. [5] a. Give the set of r symbols { a 1, a 2,..., a r }, how may differet strigs of legth 1 exist? [5]b.

More information

We often find the probability of an event by counting the number of elements in a simple sample space.

We often find the probability of an event by counting the number of elements in a simple sample space. outig Methods We ofte fid the probability of a evet by coutig the umber of elemets i a simple sample space. Basic methods of coutig are: Permutatios ombiatios Permutatio A arragemet of objects i a defiite

More information

PERMUTATIONS AND COMBINATIONS

PERMUTATIONS AND COMBINATIONS Chapter 7 PERMUTATIONS AND COMBINATIONS Every body of discovery is mathematical i form because there is o other guidace we ca have DARWIN 7.1 Itroductio Suppose you have a suitcase with a umber lock. The

More information

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule Chapter 3 Combiatorics 3.1 Permutatios Readig questios 1. Defie what a permutatio is i your ow words. 2. What is a fixed poit i a permutatio? 3. What do we assume about mutual disjoitedess whe creatig

More information

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS Sectio 6.5: Combiatios Example Recall our five frieds, Ala, Cassie, Maggie, Seth ad Roger from the example at the begiig of the previous sectio. The have wo tickets for a cocert i Chicago ad everybody

More information

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS

AMC AMS AMR ACS ACR ASR MSR MCR MCS CRS Sectio 6.5: Combiatios Example Recall our five frieds, Ala, Cassie, Maggie, Seth ad Roger from the example at the begiig of the previous sectio. The have wo tickets for a cocert i Chicago ad everybody

More information

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters?

1. How many possible ways are there to form five-letter words using only the letters A H? How many such words consist of five distinct letters? COMBINATORICS EXERCISES Stepha Wager 1. How may possible ways are there to form five-letter words usig oly the letters A H? How may such words cosist of five distict letters? 2. How may differet umber

More information

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c)

2. There are n letter and n addressed envelopes. The probability that all the letters are not kept in the right envelope, is. (c) PAGE # CHAPTER EXERCISE I. A sigle letter is selected at radom from the word PROBABILITY. The probability that the selected letter is a vowel is / / / 0. There are letter ad addressed evelopes. The probability

More information

8. Combinatorial Structures

8. Combinatorial Structures Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 8. Combiatorial Structures The purpose of this sectio is to study several combiatorial structures that are of basic importace i probability. Permutatios

More information

CS3203 #5. 6/9/04 Janak J Parekh

CS3203 #5. 6/9/04 Janak J Parekh CS3203 #5 6/9/04 Jaak J Parekh Admiistrivia Exam o Moday All slides should be up We ll try ad have solutios for HWs #1 ad #2 out by Friday I kow the HW is due o the same day; ot much I ca do, uless you

More information

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction

THE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction THE LUCAS TRIANLE RECOUNTED Arthur T Bejami Dept of Mathematics, Harvey Mudd College, Claremot, CA 91711 bejami@hmcedu 1 Itroductio I 2], Neville Robbis explores may properties of the Lucas triagle, a

More information

Logarithms APPENDIX IV. 265 Appendix

Logarithms APPENDIX IV. 265 Appendix APPENDIX IV Logarithms Sometimes, a umerical expressio may ivolve multiplicatio, divisio or ratioal powers of large umbers. For such calculatios, logarithms are very useful. They help us i makig difficult

More information

Permutation Enumeration

Permutation Enumeration RMT 2012 Power Roud Rubric February 18, 2012 Permutatio Eumeratio 1 (a List all permutatios of {1, 2, 3} (b Give a expressio for the umber of permutatios of {1, 2, 3,, } i terms of Compute the umber for

More information

Summary of Random Variable Concepts April 19, 2000

Summary of Random Variable Concepts April 19, 2000 Summary of Radom Variable Cocepts April 9, 2000 his is a list of importat cocepts we have covered, rather tha a review that derives or explais them. he first ad primary viewpoit: A radom process is a idexed

More information

6.1 Reciprocal, Quotient, and Pythagorean Identities

6.1 Reciprocal, Quotient, and Pythagorean Identities Chapte 6 Tigonometic Identities 1 6.1 Recipocal, Quotient, and Pthagoean Identities Wam-up Wite each epession with a common denominato. Detemine the estictions. a c a a) b d b) b c d c) a 1 c b c b a Definition

More information

GRADE 6 FLORIDA. Division WORKSHEETS

GRADE 6 FLORIDA. Division WORKSHEETS GRADE 6 FLORIDA Division WORKSHEETS Mental division stategies invese opeations As we know, multiplication and division ae invese opeations. 8 9 = 7 This means they do the evese of each othe: 7 9 = 8 We

More information

Counting and Probability CMSC 250

Counting and Probability CMSC 250 Coutig ad Probabilit CMSC 50 1 Coutig Coutig elemets i a list: how ma itegers i the list from 1 to 10? how ma itegers i the list from m to? assumig m CMSC 50 How Ma i a List? How ma positive three-digit

More information

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example.

AS Exercise A: The multiplication principle. Probability using permutations and combinations. Multiplication principle. Example. Probability usig permutatios ad combiatios Multiplicatio priciple If A ca be doe i ways, ad B ca be doe i m ways, the A followed by B ca be doe i m ways. 1. A die ad a coi are throw together. How may results

More information

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions

4.3 COLLEGE ALGEBRA. Logarithms. Logarithms. Logarithms 11/5/2015. Logarithmic Functions 0 TH EDITION COLLEGE ALGEBRA 4. Logarithic Fuctios Logarithic Equatios Logarithic Fuctios Properties of LIAL HORNSBY SCHNEIDER 4. - 4. - The previous sectio dealt with epoetial fuctios of the for y = a

More information

Counting on r-fibonacci Numbers

Counting on r-fibonacci Numbers Claremot Colleges Scholarship @ Claremot All HMC Faculty Publicatios ad Research HMC Faculty Scholarship 5-1-2015 Coutig o r-fiboacci Numbers Arthur Bejami Harvey Mudd College Curtis Heberle Harvey Mudd

More information

13 Legislative Bargaining

13 Legislative Bargaining 1 Legislative Bargaiig Oe of the most popular legislative models is a model due to Baro & Ferejoh (1989). The model has bee used i applicatios where the role of committees have bee studies, how the legislative

More information

IAS 2.4. Year 12 Mathematics. Contents. Trigonometric Relationships. ulake Ltd. Robert Lakeland & Carl Nugent

IAS 2.4. Year 12 Mathematics. Contents. Trigonometric Relationships. ulake Ltd. Robert Lakeland & Carl Nugent Yea 12 Mathematics IS 2.4 Tigonometic Relationships Robet Lakeland & al Nugent ontents chievement Standad.................................................. 2 icula Measue.......................................................

More information

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division

Extra Practice 1. Name Date. Lesson 1.1: Patterns in Division Master 1.22 Extra Practice 1 Lesso 1.1: Patters i Divisio 1. Which umbers are divisible by 4? By 5? How do you kow? a) 90 b) 134 c) 395 d) 1724 e) 30 f) 560 g) 3015 h) 74 i) 748 2. Write a 5-digit umber

More information

10! !. 3. Find the probability that a five-card poker hand (i.e. 5 cards out of a 52-card deck) will be:

10! !. 3. Find the probability that a five-card poker hand (i.e. 5 cards out of a 52-card deck) will be: MATH 0(001 Fall 2018 Homewok 2 Solutions Please infom you instucto if you find any eos in the solutions 1 Suppose that thee ae duck huntes, each with a pefect shot A flock of ducks fly ove, and each hunte

More information

4 Trigonometric and Inverse Trigonometric Functions

4 Trigonometric and Inverse Trigonometric Functions MATH983/954 Mathematics 0C/C. Geneal infomation fo the academic yea 0-03: Lectue: D Theodoe Voonov, Room.09, School of Mathematics, Alan Tuing Building, email: theodoe.voonov@mancheste.ac.uk. Lectues:

More information

Unit 5: Estimating with Confidence

Unit 5: Estimating with Confidence Uit 5: Estimatig with Cofidece Sectio 8.2 The Practice of Statistics, 4 th editio For AP* STARNES, YATES, MOORE Uit 5 Estimatig with Cofidece 8.1 8.2 8.3 Cofidece Itervals: The Basics Estimatig a Populatio

More information

CHAPTER 12 Circles and Circular Solids

CHAPTER 12 Circles and Circular Solids HAPTER 1 icles an icula Solis Section 1.1 icumfeences an Aeas of icles 1. Solution key: 1. heck stuents wok.. 3. π π 4. heck stuents wok. 5. heck stuents wok. 6. h ; b π. A bh ( ) Sample answe: The aea

More information

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar

COLLEGE ALGEBRA LECTURES Copyrights and Author: Kevin Pinegar OLLEGE ALGEBRA LETURES opyrights ad Author: Kevi iegar 8.3 Advaced outig Techiques: ermutatios Ad ombiatios Factorial Notatio Before we ca discuss permutatio ad combiatio formulas we must itroduce factorial

More information

Surface Roughness in High Feed Turning with Wiper Insert

Surface Roughness in High Feed Turning with Wiper Insert Key Egieeig Mateials Vols. 375-376 (008) pp 406-410 olie at http://www.scietific.et (008) Tas Tech Publicatios, Switzelad Olie available sice 008/Ma/07 Suface Roughess i High Feed Tuig with Wipe Iset Zhaqiag

More information

arxiv: v2 [math.co] 15 Oct 2018

arxiv: v2 [math.co] 15 Oct 2018 THE 21 CARD TRICK AND IT GENERALIZATION DIBYAJYOTI DEB arxiv:1809.04072v2 [math.co] 15 Oct 2018 Abstract. The 21 card trick is well kow. It was recetly show i a episode of the popular YouTube chael Numberphile.

More information

BOUNDS FOR OUT DEGREE EQUITABLE DOMINATION NUMBERS IN GRAPHS

BOUNDS FOR OUT DEGREE EQUITABLE DOMINATION NUMBERS IN GRAPHS BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN 2303-4874 (p), ISSN (o) 2303-4955 www.imvibl.org/bulletin Vol. 3(2013), 149-154 Former BULLETIN OF THE SOCIETY OF MATHEMATICIANS BANJA

More information

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013

Procedia - Social and Behavioral Sciences 128 ( 2014 ) EPC-TKS 2013 Available olie at www.sciecedirect.com ScieceDirect Procedia - Social ad Behavioral Scieces 18 ( 014 ) 399 405 EPC-TKS 013 Iductive derivatio of formulae by a computer Sava Grozdev a *, Veseli Nekov b

More information

Counting III. Today we ll briefly review some facts you dervied in recitation on Friday and then turn to some applications of counting.

Counting III. Today we ll briefly review some facts you dervied in recitation on Friday and then turn to some applications of counting. 6.04/18.06J Mathematics for Computer Sciece April 5, 005 Srii Devadas ad Eric Lehma Lecture Notes Coutig III Today we ll briefly review some facts you dervied i recitatio o Friday ad the tur to some applicatios

More information

JOB SCHEDULING WITH UNFIXED AVAILABILITY CONSTRAINTS

JOB SCHEDULING WITH UNFIXED AVAILABILITY CONSTRAINTS JOB SCHEDUING WITH UNFIXED AVAIABIITY CONSTRAINTS Hoog Chui AU School of Computig Natioal Uivesity of Sigapoe 3 Sciece Dive 2, Sigapoe 7543 Phoe: +65-68744589 Email: lauhc@comp.us.edu.sg Chao ZHANG BuildFolio

More information

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100

CP 405/EC 422 MODEL TEST PAPER - 1 PULSE & DIGITAL CIRCUITS. Time: Three Hours Maximum Marks: 100 PULSE & DIGITAL CIRCUITS Time: Three Hours Maximum Marks: 0 Aswer five questios, takig ANY TWO from Group A, ay two from Group B ad all from Group C. All parts of a questio (a, b, etc. ) should be aswered

More information

Lecture 4: Frequency Reuse Concepts

Lecture 4: Frequency Reuse Concepts EE 499: Wireless & Mobile Commuicatios (8) Lecture 4: Frequecy euse Cocepts Distace betwee Co-Chael Cell Ceters Kowig the relatio betwee,, ad, we ca easily fid distace betwee the ceter poits of two co

More information

X-Bar and S-Squared Charts

X-Bar and S-Squared Charts STATGRAPHICS Rev. 7/4/009 X-Bar ad S-Squared Charts Summary The X-Bar ad S-Squared Charts procedure creates cotrol charts for a sigle umeric variable where the data have bee collected i subgroups. It creates

More information

Grade 6 Math Review Unit 3(Chapter 1) Answer Key

Grade 6 Math Review Unit 3(Chapter 1) Answer Key Grade 6 Math Review Uit (Chapter 1) Aswer Key 1. A) A pottery makig class charges a registratio fee of $25.00. For each item of pottery you make you pay a additioal $5.00. Write a expressio to represet

More information

ELEN 624 Signal Integrity

ELEN 624 Signal Integrity ELEN 624 Sigal Itegrity Lecture 8 Istructor: Ji hao 408-580-7043, jzhao@ieee.org ELEN 624, Fall 2006 W8, 11/06/2006-1 Ageda Homework review S parameter calculatio From time domai ad frequecy domai Some

More information

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG (HONS) MECHANICAL ENGINEERING SEMESTER ONE EXAMINATION 2017/2018 MECHANICS OF MATERIALS AND MACHINES

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG (HONS) MECHANICAL ENGINEERING SEMESTER ONE EXAMINATION 2017/2018 MECHANICS OF MATERIALS AND MACHINES OCD019 UNIVRSITY OF BOLTON RAK ACADMIC CNTR BNG (HONS MCHANICAL NGINRING SMSTR ON XAMINATION 017/018 MCHANICS OF MATRIALS AND MACHINS MODUL COD: AM500 Date: Wedesda 10 th Jaua 018 Time: 10:00am 1:00pm

More information

1 Trigonometric Functions

1 Trigonometric Functions Tigonometic Functions. Geomet: Cicles and Radians cicumf. = π θ Aea = π An angle of adian is defined to be the angle which makes an ac on the cicle of length. Thus, thee ae π adians in a cicle, so π ad

More information

Discrete Random Variables: Joint PMFs, Conditioning and Independence

Discrete Random Variables: Joint PMFs, Conditioning and Independence Discrete Radom Variables: Joit MFs Coditioig ad Ideedece Berli Che Deartmet of Comuter Sciece & Iformatio gieerig Natioal Taiwa Normal Uiversit Referece: - D.. Bertsekas J. N. Tsitsiklis Itroductio to

More information

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 6. Scoring Guideline.

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 6. Scoring Guideline. 208 AP Calculus BC Sample Studet Resposes ad Scorig Commetary Iside: Free Respose Questio 6 RR Scorig Guidelie RR Studet Samples RR Scorig Commetary College Board, Advaced Placemet Program, AP, AP Cetral,

More information

Arithmetic Sequences and Series Sequences and Series Preliminary Maths

Arithmetic Sequences and Series Sequences and Series Preliminary Maths Arithmetic Sequeces ad Series Arithmetic Sequeces ad Series Sequeces ad Series Prelimiary Maths www.primeeducatio.com.au Arithmetic Sequeces ad Series Sequeces ad Series 1 Questio 1 The first 5 terms of

More information

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani

Shuffling Cards. D.J.W. Telkamp. Utrecht University Mathematics Bachelor s Thesis. Supervised by Dr. K. Dajani Shufflig Cards Utrecht Uiversity Mathematics Bachelor s Thesis D.J.W. Telkamp Supervised by Dr. K. Dajai Jue 3, 207 Cotets Itroductio 2 2 Prerequisites 2 2. Problems with the variatio distace................

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Sigals & Systems Prof. Mark Fowler Note Set #6 D-T Systems: DTFT Aalysis of DT Systems Readig Assigmet: Sectios 5.5 & 5.6 of Kame ad Heck / Course Flow Diagram The arrows here show coceptual flow

More information

lecture notes September 2, Sequential Choice

lecture notes September 2, Sequential Choice 18.310 lecture otes September 2, 2013 Sequetial Choice Lecturer: Michel Goemas 1 A game Cosider the followig game. I have 100 blak cards. I write dow 100 differet umbers o the cards; I ca choose ay umbers

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 12 EECS 70 Discrete Mathematics ad Probability Theory Sprig 204 Aat Sahai Note 2 Probability Examples Based o Coutig We will ow look at examples of radom experimets ad their correspodig sample spaces, alog

More information

GENERATE AND MEASURE STANDING SOUND WAVES IN KUNDT S TUBE.

GENERATE AND MEASURE STANDING SOUND WAVES IN KUNDT S TUBE. Acoustics Wavelegth ad speed of soud Speed of Soud i Air GENERATE AND MEASURE STANDING SOUND WAVES IN KUNDT S TUBE. Geerate stadig waves i Kudt s tube with both eds closed off. Measure the fudametal frequecy

More information

VIII. Shell-Voicings

VIII. Shell-Voicings VIII. Shell-Voicigs A. The Cocept The 5th (ad ofte the root as well) ca be omitted from most 7th-chords. Ratioale: Most chords have perfect 5ths. The P5th is also preset as the rd partial i the overtoe

More information

a All About Coffee - Dots Quilt b

a All About Coffee - Dots Quilt b a All About Coffee - Dots Quilt b Quilt by Deb Mosa Finished Quilt Appoximately: 63-7/8" x 80-7/8" - Finished Block Size: 12" x 12" All About Coffee fabics by Exclusively Quiltes - Style #3917 Fabic Requiements:

More information

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36

Math 7 Flipped Mastery Self Tester Worksheet Name: Class:. Chapter 1 (Unit 1) Patterns and Relationships - Accommodated 1.1 Patterns In Division /36 Chapter 1 (Uit 1) Patters ad Relatioships - Accommodated 1.1 Patters I Divisio /36 Divisibility Rule Cheats; A whole umber is divisible by 2 if it is a eve umber A whole umber is divisible by 4 if the

More information

N2-1. The Voltage Source. V = ε ri. The Current Source

N2-1. The Voltage Source. V = ε ri. The Current Source DC Cicuit nalysis The simplest cicuits to undestand and analyze ae those that cay diect cuent (DC). n this note we continue ou study of DC cicuits with the topics of DC voltage and cuent souces, the idea

More information

Combinatorics. ChaPTer a The addition and multiplication principles introduction. The addition principle

Combinatorics. ChaPTer a The addition and multiplication principles introduction. The addition principle ChaPTer Combiatorics ChaPTer CoTeTS a The additio ad multiplicatio priciples b Permutatios C Factorials D Permutatios usig P r e Permutatios ivolvig restrictios F Arragemets i a circle G Combiatios usig

More information

7. Counting Measure. Definitions and Basic Properties

7. Counting Measure. Definitions and Basic Properties Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 7. Coutig Measure Defiitios ad Basic Properties Suppose that S is a fiite set. If A S the the cardiality of A is the umber of elemets i A, ad is

More information

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence

Name Class. Date Section. Test Form A Chapter Chapter 9 Infinite Series. 1 n 1 2 n 3n 1, n 1, 2, 3, Find the fourth term of the sequence 8 Chapter 9 Ifiite Series Test Form A Chapter 9 Name Class Date Sectio. Fid the fourth term of the sequece,,,,.... 6 (a) (b) 6 (c) 8 6. Determie if the followig sequece coverges or diverges: If the sequece

More information

Confidence Intervals. Our Goal in Inference. Confidence Intervals (CI) Inference. Confidence Intervals (CI) x $p s

Confidence Intervals. Our Goal in Inference. Confidence Intervals (CI) Inference. Confidence Intervals (CI) x $p s Cofidece Iterval Iferece We are i the fourth ad fial part of the coure - tatitical iferece, where we draw cocluio about the populatio baed o the data obtaied from a ample choe from it. Chapter 7 1 Our

More information

Cross-Layer Performance of a Distributed Real-Time MAC Protocol Supporting Variable Bit Rate Multiclass Services in WPANs

Cross-Layer Performance of a Distributed Real-Time MAC Protocol Supporting Variable Bit Rate Multiclass Services in WPANs Cross-Layer Performace of a Distributed Real-Time MAC Protocol Supportig Variable Bit Rate Multiclass Services i WPANs David Tug Chog Wog, Jo W. Ma, ad ee Chaig Chua 3 Istitute for Ifocomm Research, Heg

More information

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU

You Think You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU You Thik You ve Got Problems? Marc Brodie Associate Professor of Mathematics, WJU Itroductio. My life, like that of ay other s, has its share of problems. I cosider myself fortuate, however, to have more

More information

Derangements. Brian Conrey and Tom Davis and March 23, 2000

Derangements. Brian Conrey and Tom Davis and   March 23, 2000 Deangements Bian Coney and Tom Davis coney@aimath.og and tomdavis@eathlink.net http://www.geomete.og/mathcicles Mach 23, 2000 Seating Mixup Imagine that Yankee Stadium is completely sold out, but when

More information

General Model :Algorithms in the Real World. Applications. Block Codes

General Model :Algorithms in the Real World. Applications. Block Codes Geeral Model 5-853:Algorithms i the Real World Error Correctig Codes I Overview Hammig Codes Liear Codes 5-853 Page message (m) coder codeword (c) oisy chael decoder codeword (c ) message or error Errors

More information

18.01 Single Variable Calculus Fall 2006

18.01 Single Variable Calculus Fall 2006 MIT OpenCouseWae http://ocw.mit.edu 8.0 Single Vaiable Calculus Fall 006 Fo infomation about citing these mateials o ou Tems of Use, visit: http://ocw.mit.edu/tems. Lectue 3: Pola Co-odinates, Aea in Pola

More information

Sampling Distribution Theory

Sampling Distribution Theory Poulatio ad amle: amlig Distributio Theory. A oulatio is a well-defied grou of idividuals whose characteristics are to be studied. Poulatios may be fiite or ifiite. (a) Fiite Poulatio: A oulatio is said

More information

Shuli s Math Problem Solving Column

Shuli s Math Problem Solving Column Shuli s Mth Problem Solvig Colum Volume, Issue Jue, 9 Edited d Authored by Shuli Sog Colordo Sprigs, Colordo shuli_sog@yhoocom Cotets Mth Trick: Metl Clcultio: b cd Mth Competitio Skill: Divisibility by

More information

5 Quick Steps to Social Media Marketing

5 Quick Steps to Social Media Marketing 5 Quick Steps to Social Media Marketig Here's a simple guide to creatig goals, choosig what to post, ad trackig progress with cofidece. May of us dive ito social media marketig with high hopes to watch

More information

Data Mining the Online Encyclopedia of Integer Sequences for New Identities Hieu Nguyen

Data Mining the Online Encyclopedia of Integer Sequences for New Identities Hieu Nguyen Slide 1 of 18 Data Miig the Olie Ecyclopedia of Iteger Sequeces for New Idetities Hieu Nguye Rowa Uiversity MAA-NJ Sectio Sprig Meetig March 31, 2012 2 MAA-NJ Sprig Meetig Data Miig OEIS.b ü Ackowledgemets

More information

Variance? which variance? R squared effect size measures in simple mediation models

Variance? which variance? R squared effect size measures in simple mediation models Vaiance? which vaiance? squaed effect size measues in simple mediation models M This is it? med di X de Heus, P. (01). squaed effect size measues and ovelap between diect and indiect effect in mediation

More information

MEI Core 2. Logarithms and exponentials. Section 2: Modelling curves using logarithms. Modelling curves of the form y kx

MEI Core 2. Logarithms and exponentials. Section 2: Modelling curves using logarithms. Modelling curves of the form y kx MEI Core 2 Logarithms ad eoetials Sectio 2: Modellig curves usig logarithms Notes ad Eamles These otes cotai subsectios o: Modellig curves of the form y = k Modellig curves of the form y = ka Modellig

More information

Spread Spectrum Signal for Digital Communications

Spread Spectrum Signal for Digital Communications Wireless Iformatio Trasmissio System Lab. Spread Spectrum Sigal for Digital Commuicatios Istitute of Commuicatios Egieerig Natioal Su Yat-se Uiversity Spread Spectrum Commuicatios Defiitio: The trasmitted

More information

PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB

PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB 1 of 7 PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB BEFORE YOU BEGIN PREREQUISITE LABS Itroductio to Oscilloscope Itroductio to Arbitrary/Fuctio Geerator EXPECTED KNOWLEDGE Uderstadig of LTI systems. Laplace

More information

Multilevel PWM Inverter Employing a Modified Halfbridge Configuration with a Single DC Voltage Source

Multilevel PWM Inverter Employing a Modified Halfbridge Configuration with a Single DC Voltage Source dvaced Sciece ad Techology ettes Vol.8 I 0, pp.87-9 http://dx.doi.og/0.57/astl.0.8.6 Multilevel PWM Ivete Employig a Modified Halfbidge ofiguatio with a Sigle D Voltage Souce Feel-soo Kag, ad Wo Seok hoi

More information

Wavelet Transform. CSEP 590 Data Compression Autumn Wavelet Transformed Barbara (Enhanced) Wavelet Transformed Barbara (Actual)

Wavelet Transform. CSEP 590 Data Compression Autumn Wavelet Transformed Barbara (Enhanced) Wavelet Transformed Barbara (Actual) Wavelet Trasform CSEP 59 Data Compressio Autum 7 Wavelet Trasform Codig PACW Wavelet Trasform A family of atios that filters the data ito low resolutio data plus detail data high pass filter low pass filter

More information

Final exam PS 30 December 2009

Final exam PS 30 December 2009 Fial exam PS 30 December 2009 Name: UID: TA ad sectio umber: This is a closed book exam. The oly thig you ca take ito this exam is yourself ad writig istrumets. Everythig you write should be your ow work.

More information

20. CONFIDENCE INTERVALS FOR THE MEAN, UNKNOWN VARIANCE

20. CONFIDENCE INTERVALS FOR THE MEAN, UNKNOWN VARIANCE 20. CONFIDENCE INTERVALS FOR THE MEAN, UNKNOWN VARIANCE If the populatio tadard deviatio σ i ukow, a it uually will be i practice, we will have to etimate it by the ample tadard deviatio. Sice σ i ukow,

More information

x y z HD(x, y) + HD(y, z) HD(x, z)

x y z HD(x, y) + HD(y, z) HD(x, z) Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece 6.02 Solutios to Chapter 5 Updated: February 16, 2012 Please sed iformatio about errors or omissios to hari; questios

More information

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im

sible number of wavelengths. The wave~~ngt~ ~ ~ ~ c ~ n b~dwidth is set low eno~gh to interfax One of the most im sible umber of wavelegths. The wave~~gt~ ~ ~ ~ c ~ b~dwidth is set low eo~gh to iterfax vices. Oe of the most im ed trasmitters ad ysis much more CO "The author is also f Cumputer sciece Departmet, Uiversity

More information

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 95 CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER 5.1 GENERAL Ru-legth codig is a lossless image compressio techique, which produces modest compressio ratios. Oe way of icreasig the compressio ratio of a ru-legth

More information

MDM 4U MATH OF DATA MANAGEMENT FINAL EXAMINATION

MDM 4U MATH OF DATA MANAGEMENT FINAL EXAMINATION Caadia Iteratioal Matriculatio rogramme Suway Uiversity College MDM 4U MTH OF DT MNGEMENT FINL EXMINTION Date: November 28 th, 2006 Time: 11.30a.m 1.30p.m Legth: 2 HOURS Lecturers: lease circle your teacher

More information

EMCdownload. Acknowledgements. Fair use

EMCdownload. Acknowledgements. Fair use EMC_Sulight.idd 1 28/03/2013 09:06 Ackowledgemets Writte by Aa Sarchet, with Kate Oliver Edited by Kate Oliver Frot cover: Rebecca Scambler, 2013 Published by The Eglish ad Media Cetre, 2013 for EMCdowload.co.uk

More information

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress.

H2 Mathematics Pure Mathematics Section A Comprehensive Checklist of Concepts and Skills by Mr Wee Wen Shih. Visit: wenshih.wordpress. H2 Mathematics Pure Mathematics Sectio A Comprehesive Checklist of Cocepts ad Skills by Mr Wee We Shih Visit: weshih.wordpress.com Updated: Ja 2010 Syllabus topic 1: Fuctios ad graphs 1.1 Checklist o Fuctios

More information

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home

COMBINATORICS 2. Recall, in the previous lesson, we looked at Taxicabs machines, which always took the shortest path home COMBINATORICS BEGINNER CIRCLE 1/0/013 1. ADVANCE TAXICABS Recall, i the previous lesso, we looked at Taxicabs machies, which always took the shortest path home taxipath We couted the umber of ways that

More information

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n

x 1 + x x n n = x 1 x 2 + x x n n = x 2 x 3 + x x n n = x 3 x 5 + x x n = x n Sectio 6 7A Samplig Distributio of the Sample Meas To Create a Samplig Distributio of the Sample Meas take every possible sample of size from the distributio of x values ad the fid the mea of each sample

More information

Combinatorics and probability

Combinatorics and probability Departmet of Mathematics Ma 3/03 KC Border Itroductio to Probability ad Statistics Witer 208 Lecture 3: Combiatorics ad probability Relevat textboo passages: Pitma [2]: Sectios.5.6, pp. 7 77; Appedix,

More information

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003 troductio to Wireless Commuicatio ystems ECE 476/ECE 501C/C 513 Witer 2003 eview for Exam #1 March 4, 2003 Exam Details Must follow seatig chart - Posted 30 miutes before exam. Cheatig will be treated

More information

Investigate Surface Area of Three-Dimensional Objects

Investigate Surface Area of Three-Dimensional Objects 2.2 Suface Aea Blackfoot Cossing Exhibit Hall Focus on solving poblems involving the suface aea of theedimensional objects finding an unknown dimension of a theedimensional object given its suface aea

More information

Artificial Bee Colony (ABC), Harmony Search and Bees Algorithms on Numerical Optimization

Artificial Bee Colony (ABC), Harmony Search and Bees Algorithms on Numerical Optimization Atificial Bee Coloy (ABC), Hamoy Seach ad Bees Algoithms o Numeical Optimizatio. Kaaboga, B. Akay Eciyes Uivesity, The ept. of Compute Egieeig, 38039, Melikgazi, Kaysei, Tukiye Abstact I this pape, pefomaces

More information

LX 422/722 Intermediate Syntax KEY (with notes) SPRING 2018 FINAL 38 points total; 22 for #1, 2 for #2, 7 for #3, 1 for #4, 6 for #5

LX 422/722 Intermediate Syntax KEY (with notes) SPRING 2018 FINAL 38 points total; 22 for #1, 2 for #2, 7 for #3, 1 for #4, 6 for #5 LX 422/722 Itermediate Sytax KEY (with otes) SPRIG 2018 FIAL 38 poits total; 22 for #1, 2 for #2, 7 for #3, 1 for #4, 6 for #5 SEEES FOR PROBLEM #1 (i) (ii) (iii) Pat seems to kow who will wi. Pat s fried

More information

An Adaptive Image Denoising Method based on Thresholding

An Adaptive Image Denoising Method based on Thresholding A Adaptive Image Deoisig Method based o Thresholdig HARI OM AND MANTOSH BISWAS Departmet of Computer Sciece & Egieerig Idia School of Mies, Dhabad Jharkad-86004 INDIA {hariom4idia, matoshb}@gmail.com Abstract

More information

Analysis of Occurrence of Digit 0 in Natural Numbers Less Than 10 n

Analysis of Occurrence of Digit 0 in Natural Numbers Less Than 10 n meican Intenational Jounal of Reseach in Fomal, pplied & Natual Sciences vailable online at http://www.iasi.net ISSN (Pint): 2328-3777, ISSN (Online): 2328-3785, ISSN (CD-ROM): 2328-3793 IJRFNS is a efeeed,

More information

Assignment 0/0 2 /0 8 /0 16 Version: 3.2a Last Updated: 9/20/ :29 PM Binary Ones Comp Twos Comp

Assignment 0/0 2 /0 8 /0 16 Version: 3.2a Last Updated: 9/20/ :29 PM Binary Ones Comp Twos Comp * Dynamic Memoy *Big O Notation*Stacks *Exteme Pogamming*Selection Sot*Insetion Sot*Watefall Model Sting*Aays*AayList*Client Seve*Atificial Intelligence*Inheitance*Files*Video Games*Shot cicuit evaluation*

More information

Chapter 9 Cascode Stages and Current Mirrors

Chapter 9 Cascode Stages and Current Mirrors Chapte 9 Cascode Stages and Cuent Mios 9. Cascode Stage 9. Cuent Mios CH 9 Cascode Stages and Cuent Mios Boosted Output Impedances S O S m out E O E m out g g Bipola Cascode Stage [ g ( )] out m O O O

More information

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing 206 3 rd Iteratioal Coferece o Mechaical, Idustrial, ad Maufacturig Egieerig (MIME 206) ISBN: 978--60595-33-7 Applicatio of Improved Geetic Algorithm to Two-side Assembly Lie Balacig Ximi Zhag, Qia Wag,

More information

High Speed Area Efficient Modulo 2 1

High Speed Area Efficient Modulo 2 1 High Speed Area Efficiet Modulo 2 1 1-Soali Sigh (PG Scholar VLSI, RKDF Ist Bhopal M.P) 2- Mr. Maish Trivedi (HOD EC Departmet, RKDF Ist Bhopal M.P) Adder Abstract Modular adder is oe of the key compoets

More information

Figure Geometry for Computing the Antenna Parameters.

Figure Geometry for Computing the Antenna Parameters. Spheical Coodinate Systems Definitions Figue 1.2.1 Geomety fo Computing the Antenna Paametes. Antenna Radiation Patten: The distibution of adiated enegy fom an antenna ove a suface of constant adius centeed

More information

Low-Complexity Time-Domain SNR Estimation for OFDM Systems

Low-Complexity Time-Domain SNR Estimation for OFDM Systems Low-Complexity Time-Domain SR Estimation fo OFDM Systems A. jaz, A.B. Awoseyila and B.G. Evans A low-complexity SR estimation algoithm fo OFDM systems in fequency-selective fading channels is poposed.

More information