Numerical: Data with quantity Discrete: whole number answers Example: How many siblings do you have?
|
|
- Vincent Harris
- 5 years ago
- Views:
Transcription
1 Types of data Numerical: Data with quantity Discrete: whole number answers Example: How many siblings do you have? Continuous: Answers can fall anywhere in between two whole numbers. Usually any type of measurement (weight, distance, time etc) Example: Height of trees in a forest. Categorical: Data with descriptive attributes Nominal: Descriptive data that has no order associated. Example: What colour is your hair? table - Discrete data Ordinal: Descriptive data with an implied order. Responses are usually ranked. Example: How often do you use SnapChat? Never Sometimes - Quite frequently The shoe sizes of 20 people are listed below table The column (f) represents the amount of times each score appears The cumulative column (cf) represents the running total of the. Add the previous frequencies to the current. The score column (x) represents what the data is: In this case shoe size Shoe size (x) (f) Cumulative (cf) Percentage (%) : Sum of the = = = = = = = 20 TOTAL 100 Total of the Percentage column The percentage column represents what percent of the total each score accounts for. Page 1 of 7
2 table Continuous data The midpoint (x) represents the middle value of each group table The column (f) represents the amount of times each score appears (xf): Multiply the midpoint by the The cumulative column (cf) represents the running total of the. Add the previous frequencies to the current. The Class represents the individual groups of data Class Mid-point ( ) 0 <10 5 ( ) ( ) Cumulative ( ) 10 < < < < 50 1 TOTAL : Sum of the. Eg. Amount of data Note: : Sum of the column. Eg: sum of all data Bar chart: Used for categorical data Bars represent for each category Gaps between each bar scale Remember to title axis Categories Remember to title axis Page 2 of 7
3 Histogram: Used for numerical data Bars represent for each category scale Remember to title axis NO gaps between each bar Score Remember to title axis Cumulative curve (ogive) A cumulative is a running total of the results. The curve (ogive) should always be sloping up to the right or be horizontal between two values (dots) Axis are titled Position of median Curve always slopes up to the right Median value Stem and leaf plot: Key: What the stem and leaf represents. In this example the stem is tens and the leaf is units The median can easily be found on a cumulative curve. 1) Add one to the greatest value and half the result. (position of median = ) 2) Draw a horizontal line from the value you obtained starting at the vertical axis (cumulative ) until you touch the ogive. 3) Draw a vertical line down to the horizontal axis. This is the value of the median. Example: From the diagram, the median value is 61. Stem: In this example it represents tens Title Leaf: All the numbers sorted in tens (according to the key). On the leaf side there should only be one number per entry Page 3 of 7
4 Dot plot: Dots represent frequencies Scale Title Mean: The average of the data values Example: Median: The middle value of a data set Data needs to be ordered from lowest to highest to find the median Example 1: (odd data) Median = 5 th piece of data = The median is the 5 th piece of data Median = 8 Example 2: (Even data) Median = between 5 th and 6 th piece of data Median = The median falls between the 5 th and 6 th piece of data Median = Median = 7 Page 4 of 7
5 Mode: Most occurring value Mode = 4 5-Figure Summary The 5-figure summary includes the minimum, first quartile, median, third quartile and the maximum value. Data needs to be sorted from lowest value to greatest value Minimum = 5 Lowest value Q 1 = 7 Median of lower half Median = 8.5 Middle number of data Q 3 = 10 Median of upper half Maximum = 11 Greatest value Minimum Q 1 Median Q 3 Maximum Median of Middle Median of Lowest Greatest the lower value of the upper value value half the data half Range and Interquartile range (IQR): Range: Measures the spread of the data Interquartile range: Measures the spread of the middle 50% of the data Example: Minimum Q 1 Median Q 3 Maximum Ie. The data has a spread of 34 values ranging from 1 to 35 Ie. The middle 50% of the data has a spread of 4 values ranging from 16 to 20 Page 5 of 7
6 Outliers: Extreme value: A data value that is not representative of the majority of the data. Example: Q 1 Median Q Lower fence Upper fence Box plots: Minimum Q 1 Median Q 3 Maximum and outlier Scale Maximum value not including any outliers Centre and spread: The following differ in centre (look at median): Centre Centre The following differ in spread (look at range and IQR): Page 6 of 7
7 Symmetry and Skew: Both of the following are symmetric (look for an even bell curve): The following are skewed data: Page 7 of 7
Section 1.5 Graphs and Describing Distributions
Section 1.5 Graphs and Describing Distributions Data can be displayed using graphs. Some of the most common graphs used in statistics are: Bar graph Pie Chart Dot plot Histogram Stem and leaf plot Box
More informationSections Descriptive Statistics for Numerical Variables
Math 243 Sections 2.1.2-2.2.5 Descriptive Statistics for Numerical Variables A framework to describe quantitative data: Describe the Shape, Center and Spread, and Unusual Features Shape How is the data
More informationChpt 2. Frequency Distributions and Graphs. 2-3 Histograms, Frequency Polygons, Ogives / 35
Chpt 2 Frequency Distributions and Graphs 2-3 Histograms, Frequency Polygons, Ogives 1 Chpt 2 Homework 2-3 Read pages 48-57 p57 Applying the Concepts p58 2-4, 10, 14 2 Chpt 2 Objective Represent Data Graphically
More informationChapter 4. Displaying and Summarizing Quantitative Data. Copyright 2012, 2008, 2005 Pearson Education, Inc.
Chapter 4 Displaying and Summarizing Quantitative Data Copyright 2012, 2008, 2005 Pearson Education, Inc. Dealing With a Lot of Numbers Summarizing the data will help us when we look at large sets of quantitative
More informationSTK110. Chapter 2: Tabular and Graphical Methods Lecture 1 of 2. ritakeller.com. mathspig.wordpress.com
STK110 Chapter 2: Tabular and Graphical Methods Lecture 1 of 2 ritakeller.com mathspig.wordpress.com Frequency distribution Example Data from a sample of 50 soft drink purchases Frequency Distribution
More informationElementary Statistics. Graphing Data
Graphing Data What have we learned so far? 1 Randomly collect data. 2 Sort the data. 3 Compute the class width for specific number of classes. 4 Complete a frequency distribution table with the following
More informationNotes: Displaying Quantitative Data
Notes: Displaying Quantitative Data Stats: Modeling the World Chapter 4 A or is often used to display categorical data. These types of displays, however, are not appropriate for quantitative data. Quantitative
More informationDESCRIBING DATA. Frequency Tables, Frequency Distributions, and Graphic Presentation
DESCRIBING DATA Frequency Tables, Frequency Distributions, and Graphic Presentation Raw Data A raw data is the data obtained before it is being processed or arranged. 2 Example: Raw Score A raw score is
More informationTo describe the centre and spread of a univariate data set by way of a 5-figure summary and visually by a box & whisker plot.
Five Figure Summary Teacher Notes & Answers 7 8 9 10 11 12 TI-Nspire Investigation Student 60 min Aim To describe the centre and spread of a univariate data set by way of a 5-figure summary and visually
More informationUnivariate Descriptive Statistics
Univariate Descriptive Statistics Displays: pie charts, bar graphs, box plots, histograms, density estimates, dot plots, stemleaf plots, tables, lists. Example: sea urchin sizes Boxplot Histogram Urchin
More informationLearning Log Title: CHAPTER 2: ARITHMETIC STRATEGIES AND AREA. Date: Lesson: Chapter 2: Arithmetic Strategies and Area
Chapter 2: Arithmetic Strategies and Area CHAPTER 2: ARITHMETIC STRATEGIES AND AREA Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 2: Arithmetic Strategies and Area Date: Lesson:
More informationSAMPLE. This chapter deals with the construction and interpretation of box plots. At the end of this chapter you should be able to:
find the upper and lower extremes, the median, and the upper and lower quartiles for sets of numerical data calculate the range and interquartile range compare the relative merits of range and interquartile
More informationReview. In an experiment, there is one variable that is of primary interest. There are several other factors, which may affect the measured result.
Review Observational study vs experiment Experimental designs In an experiment, there is one variable that is of primary interest. There are several other factors, which may affect the measured result.
More informationChapter 10. Definition: Categorical Variables. Graphs, Good and Bad. Distribution
Chapter 10 Graphs, Good and Bad Chapter 10 3 Distribution Definition: Tells what values a variable takes and how often it takes these values Can be a table, graph, or function Categorical Variables Places
More informationChapter 2 Frequency Distributions and Graphs
Chapter 2 Frequency Distributions and Graphs Outline 2-1 Organizing Data 2-2 Histograms, Frequency Polygons, and Ogives 2-3 Other Types of Graphs Objectives Organize data using a frequency distribution.
More informationName: Date: Period: Histogram Worksheet
Name: Date: Period: Histogram Worksheet 1 5. For the following five histograms, list at least 3 characteristics that describe each histogram (consider symmetric, skewed to left, skewed to right, unimodal,
More informationFind the following for the Weight of Football Players. Sample standard deviation n=
Find the following for the Weight of Football Players x Sample standard deviation n= Fun Coming Up! 3-3 Measures of Position Z-score Percentile Quartile Outlier Bluman, Chapter 3 3 Measures of Position:
More informationChapter 1: Stats Starts Here Chapter 2: Data
Chapter 1: Stats Starts Here Chapter 2: Data Statistics data, datum variation individual respondent subject participant experimental unit observation variable categorical quantitative Calculator Skills:
More informationSymmetric (Mean and Standard Deviation)
Summary: Unit 2 & 3 Distributions for Quantitative Data Topics covered in Module 2: How to calculate the Mean, Median, IQR Shapes of Histograms, Dotplots, Boxplots Know the difference between categorical
More informationChapter 4. September 08, appstats 4B.notebook. Displaying Quantitative Data. Aug 4 9:13 AM. Aug 4 9:13 AM. Aug 27 10:16 PM.
Objectives: Students will: Chapter 4 1. Be able to identify an appropriate display for any quantitative variable: stem leaf plot, time plot, histogram and dotplot given a set of quantitative data. 2. Be
More informationDescribing Data Visually. Describing Data Visually. Describing Data Visually 9/28/12. Applied Statistics in Business & Economics, 4 th edition
A PowerPoint Presentation Package to Accompany Applied Statistics in Business & Economics, 4 th edition David P. Doane and Lori E. Seward Prepared by Lloyd R. Jaisingh Describing Data Visually Chapter
More informationFrequency Distribution and Graphs
Chapter 2 Frequency Distribution and Graphs 2.1 Organizing Qualitative Data Denition 2.1.1 A categorical frequency distribution lists the number of occurrences for each category of data. Example 2.1.1
More informationTJP TOP TIPS FOR IGCSE STATS & PROBABILITY
TJP TOP TIPS FOR IGCSE STATS & PROBABILITY Dr T J Price, 2011 First, some important words; know what they mean (get someone to test you): Mean the sum of the data values divided by the number of items.
More information1.1 Displaying Distributions with Graphs, Continued
1.1 Displaying Distributions with Graphs, Continued Ulrich Hoensch Thursday, January 10, 2013 Histograms Constructing a frequency table involves breaking the range of values of a quantitative variable
More informationAP Statistics Composition Book Review Chapters 1 2
AP Statistics Composition Book Review Chapters 1 2 Terms/vocabulary: Explain each term with in the STATISTICAL context. Bar Graph Bimodal Categorical Variable Density Curve Deviation Distribution Dotplot
More informationChapter 3. Graphical Methods for Describing Data. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.
Chapter 3 Graphical Methods for Describing Data 1 Frequency Distribution Example The data in the column labeled vision for the student data set introduced in the slides for chapter 1 is the answer to the
More informationCHAPTER 13A. Normal Distributions
CHAPTER 13A Normal Distributions SO FAR We always want to plot our data. We make a graph, usually a histogram or a stemplot. We want to look for an overall pattern (shape, center, spread) and for any striking
More informationData About Us Practice Answers
Investigation Additional Practice. a. The mode is. While the data set is a collection of numbers, there is no welldefined notion of the center for this distribution. So the use of mode as a typical number
More informationLecture 2: Chapter 2
Lecture 2: Chapter 2 C C Moxley UAB Mathematics 3 June 15 2.2 Frequency Distributions Definition (Frequency Distribution) Frequency distributions shows how data are distributed among categories (classes)
More informationChapter 2. Describing Distributions with Numbers. BPS - 5th Ed. Chapter 2 1
Chapter 2 Describing Distributions with Numbers BPS - 5th Ed. Chapter 2 1 Numerical Summaries Center of the data mean median Variation range quartiles (interquartile range) variance standard deviation
More informationExploring Data Patterns. Run Charts, Frequency Tables, Histograms, Box Plots
Exploring Data Patterns Run Charts, Frequency Tables, Histograms, Box Plots 1 Topics I. Exploring Data Patterns - Tools A. Run Chart B. Dot Plot C. Frequency Table and Histogram D. Box Plot II. III. IV.
More informationDescriptive Statistics II. Graphical summary of the distribution of a numerical variable. Boxplot
MAT 2379 (Spring 2012) Descriptive Statistics II Graphical summary of the distribution of a numerical variable We will present two types of graphs that can be used to describe the distribution of a numerical
More informationSidcot intranet - Firefly. Useful links: Instant classroom. MyMaths. Objectives
Useful links: Sidcot intranet - Firefly Instant classroom MyMaths Objectives Objectives To revise scatter graphs To use them to make estimations Scatter Graphs Revision powerpoint Now make some revision
More informationLecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 2.2- #
Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 2 Summarizing and Graphing Data 2-1 Review and Preview 2-2 Frequency Distributions 2-3 Histograms
More informationChapter 4 Displaying and Describing Quantitative Data
Chapter 4 Displaying and Describing Quantitative Data Overview Key Concepts Be able to identify an appropriate display for any quantitative variable. Be able to guess the shape of the distribution of a
More informationNotes 5C: Statistical Tables and Graphs
Notes 5C: Statistical Tables and Graphs Frequency Tables A frequency table is an easy way to display raw data. A frequency table typically has between two to four columns: The first column lists all the
More informationA C E. Answers Investigation 3. Applications. Sample 2: 11 moves. or 0.44; MAD Sample 2: 22. , or 2.44; MAD Sample 3: 0, or 0.
Applications 1. a) The range is $1.75. b) Each server receives $15.65. c) Since Yanna s amount is higher than the mean, they will each receive more. If Yanna receives the mean ($15.65), then the remainder
More informationChapter 6: Descriptive Statistics
Chapter 6: Descriptive Statistics Problem (01): Make a frequency distribution table for the following data using 5 classes. 5 10 7 19 25 12 15 7 6 8 17 17 22 21 7 7 24 5 6 5 Problem (02): Annual Salaries
More informationLeft skewed because it is stretched to the left side. Lesson 5: Box Plots. Lesson 5
Opening Exercise Consider the following scenario. A television game show, Fact or Fiction, was cancelled after nine shows. Many people watched the nine shows and were rather upset when it was taken off
More informationLecture 5 Understanding and Comparing Distributions
Lecture 5 Understanding and Comparing Distributions 1 Recall the 5-summary from our Tim Horton s example: Calories of 30 donuts. min=180, max=400, median=250, Q1=210, Q3=280 Below is the boxplot for calories
More informationSection 1: Data (Major Concept Review)
Section 1: Data (Major Concept Review) Individuals = the objects described by a set of data variable = characteristic of an individual weight height age IQ hair color eye color major social security #
More informationStatistics for Managers using Microsoft Excel 3 rd Edition
Statistics for Managers using Microsoft Excel 3 rd Edition Chapter 2 Presenting Data in Tables and Charts 22 Prentice-Hall, Inc. Chap 2-1 Chapter Topics Organizing numerical data The ordered array and
More informationDisplaying Distributions with Graphs
Displaying Distributions with Graphs Recall that the distribution of a variable indicates two things: (1) What value(s) a variable can take, and (2) how often it takes those values. Example 1: Weights
More informationBusiness Statistics:
Department of Quantitative Methods & Information Systems Business Statistics: Chapter 2 Graphs, Charts, and Tables Describing Your Data QMIS 120 Dr. Mohammad Zainal Chapter Goals After completing this
More informationLecture 16 Sections Tue, Sep 23, 2008
s Lecture 16 Sections 5.3.1-5.3.3 Hampden-Sydney College Tue, Sep 23, 2008 in Outline s in 1 2 3 s 4 5 6 in 7 s Exercise 5.7, p. 312. (a) average (or mean) age for 10 adults in a room is 35 years. A 32-year-old
More informationLESSON 2: FREQUENCY DISTRIBUTION
LESSON : FREQUENCY DISTRIBUTION Outline Frequency distribution, histogram, frequency polygon Relative frequency histogram Cumulative relative frequency graph Stem-and-leaf plots Scatter diagram Pie charts,
More informationPASS Sample Size Software
Chapter 945 Introduction This section describes the options that are available for the appearance of a histogram. A set of all these options can be stored as a template file which can be retrieved later.
More information(Notice that the mean doesn t have to be a whole number and isn t normally part of the original set of data.)
One-Variable Statistics Descriptive statistics that analyze one characteristic of one sample Where s the middle? How spread out is it? Where do different pieces of data compare? To find 1-variable statistics
More informationChapter Displaying Graphical Data. Frequency Distribution Example. Graphical Methods for Describing Data. Vision Correction Frequency Relative
Chapter 3 Graphical Methods for Describing 3.1 Displaying Graphical Distribution Example The data in the column labeled vision for the student data set introduced in the slides for chapter 1 is the answer
More informationChapter 2. Organizing Data. Slide 2-2. Copyright 2012, 2008, 2005 Pearson Education, Inc.
Chapter 2 Organizing Data Slide 2-2 Section 2.1 Variables and Data Slide 2-3 Definition 2.1 Variables Variable: A characteristic that varies from one person or thing to another. Qualitative variable: A
More informationMean for population data: x = the sum of all values. N = the population size n = the sample size, µ = the population mean. x = the sample mean
MEASURE OF CENTRAL TENDENCY MEASURS OF CENTRAL TENDENCY Ungrouped Data Measurement Mean Mean for population data: Mean for sample data: x N x x n where: x = the sum of all values N = the population size
More informationUse Measures of Central Tendency and Dispersion Objectives
Use Measures of Central Tendency and Dispersion Objectives I will describe the central tendency (mean, median and mode) of a data set. A measure of central tendency describes the center of a set of data.
More informationStatistics is the study of the collection, organization, analysis, interpretation and presentation of data.
Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. What is Data? Data is a collection of facts, such as values or measurements. It can be numbers,
More informationOrganizing Data 10/11/2011. Focus Points. Frequency Distributions, Histograms, and Related Topics. Section 2.1
Organizing Data 2 Copyright Cengage Learning. All rights reserved. Section 2.1 Frequency Distributions, Histograms, and Related Topics Copyright Cengage Learning. All rights reserved. Focus Points Organize
More informationPSY 307 Statistics for the Behavioral Sciences. Chapter 2 Describing Data with Tables and Graphs
PSY 307 Statistics for the Behavioral Sciences Chapter 2 Describing Data with Tables and Graphs Class Progress To-Date Math Readiness Descriptives Midterm next Monday Frequency Distributions One of the
More information11 Wyner Statistics Fall 2018
11 Wyner Statistics Fall 218 CHAPTER TWO: GRAPHS Review September 19 Test September 28 For research to be valuable, it must be shared, and a graph can be an effective way to do so. The fundamental aspect
More information7-2 Mean, Median, Mode, and Range. IWBAT find the mean, median, mode, and range of a data set.
IWBAT find the mean, median, mode, and range of a data set. mean median mode range outlier Vocabulary WRITE: The mean is the sum of the data values divided by the number of data items. The median is the
More informationChapter 1. Picturing Distributions with Graphs
Chapter 1. Picturing Distributions with Graphs 1 Chapter 1. Picturing Distributions with Graphs Definition. Individuals are the objects described by a set of data. Individuals may be people, but they may
More informationIntroduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty
Inferential Statistics and Probability a Holistic Approach Chapter 1 Displaying and Analyzing Data with Graphs This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-ShareAlike
More informationOutline. Drawing the Graph. 1 Homework Review. 2 Introduction. 3 Histograms. 4 Histograms on the TI Assignment
Lecture 14 Section 4.4.4 on Hampden-Sydney College Fri, Sep 18, 2009 Outline 1 on 2 3 4 on 5 6 Even-numbered on Exercise 4.25, p. 249. The following is a list of homework scores for two students: Student
More informationThe numbers are...,..., ...,...,...,...,...,
Stem and leaf diagrams 1. 2. 3. Stem Leaf Stem Leaf Stem Leaf 2 3 4 5 1 3 6 9 0 4 4 5 5 6 3 The numbers are 21, 23, 0 1 2 3 2 6 8 3 4 5 8 1 2 4 0 5 The numbers are...,..., 88 89 90 91 7 0 8 9 1 3 5 6 9
More information0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 5, 8
Name Date One Variable Statistics Dot Plots Independent Practice 1. The number of boots that 25 students had in their homes in Florida were recorded below: 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2,
More information10 Wyner Statistics Fall 2013
1 Wyner Statistics Fall 213 CHAPTER TWO: GRAPHS Summary Terms Objectives For research to be valuable, it must be shared. The fundamental aspect of a good graph is that it makes the results clear at a glance.
More informationLecture 16 Sections Tue, Feb 10, 2009
s Lecture 16 Sections 5.3.1-5.3.3 Hampden-Sydney College Tue, Feb 10, 2009 Outline s 1 2 3 s 4 5 6 7 s Exercise 5.6, p. 311. salaries of superstar professional athletes receive much attention in the media.
More informationOffice 2016 Excel Basics 24 Video/Class Project #36 Excel Basics 24: Visualize Quantitative Data with Excel Charts. No Chart Junk!!!
Office 2016 Excel Basics 24 Video/Class Project #36 Excel Basics 24: Visualize Quantitative Data with Excel Charts. No Chart Junk!!! Goal in video # 24: Learn about how to Visualize Quantitative Data with
More informationChapter 1. Statistics. Individuals and Variables. Basic Practice of Statistics - 3rd Edition. Chapter 1 1. Picturing Distributions with Graphs
Chapter 1 Picturing Distributions with Graphs BPS - 3rd Ed. Chapter 1 1 Statistics Statistics is a science that involves the extraction of information from numerical data obtained during an experiment
More informationAlgebra I Notes Unit One: Real Number System
Syllabus Objectives: 1.1 The student will organize statistical data through the use of matrices (with and without technology). 1.2 The student will perform addition, subtraction, and scalar multiplication
More informationHPS Scope Sequence Last Revised June SUBJECT: Math GRADE: 7. Michigan Standard (GLCE) Code & Language. What this Standard means:
Number and Numeration MA.7.NS.1 (Apply and extend previous understandings of addition and subtraction to add and subtract rational numbers; represent addition and subtraction on a horizontal or vertical
More informationChapter 2. The Excel functions, Excel Analysis ToolPak Add-ins or Excel PHStat2 Add-ins needed to create frequency distributions are:
I. Organizing Data in Tables II. Describing Data by Graphs Chapter 2 I. Tables: 1. Frequency Distribution (Nominal or Ordinal) 2. Grouped Frequency Distribution (Interval or Ratio data) 3. Joint Frequency
More informationFemale Height. Height (inches)
Math 111 Normal distribution NAME: Consider the histogram detailing female height. The mean is 6 and the standard deviation is 2.. We will use it to introduce and practice the ideas of normal distributions.
More informationBusiness Statistics. Lecture 2: Descriptive Statistical Graphs and Plots
Business Statistics Lecture 2: Descriptive Statistical Graphs and Plots 1 Goals for this Lecture Graphical descriptive statistics Histograms (and bar charts) Boxplots Scatterplots Time series plots Mosaic
More informationUnit 8, Activity 1, Vocabulary Self-Awareness Chart
Unit 8, Activity 1, Vocabulary Self-Awareness Chart Vocabulary Self-Awareness Chart WORD +? EXAMPLE DEFINITION Central Tendency Mean Median Mode Range Quartile Interquartile Range Standard deviation Stem
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Practice for Final Exam Name Identify the following variable as either qualitative or quantitative and explain why. 1) The number of people on a jury A) Qualitative because it is not a measurement or a
More informationAlgebra I. Measures of Central Tendency: Mean, Median, Mode & Additional Measures of Data. Slide 1 / 141 Slide 2 / 141. Slide 4 / 141.
Slide 1 / 141 Slide 2 / 141 lgebra I ata & Statistical nalysis 2015-11-25 www.njctl.org Slide 3 / 141 Slide 4 / 141 Table of ontents lick on the topic to go to that section Measures of entral Tendency
More informationCore Connections, Course 2 Checkpoint Materials
Core Connections, Course Checkpoint Materials Notes to Students (and their Teachers) Students master different skills at different speeds. No two students learn exactly the same way at the same time. At
More informationMATHS. Year 10 to 11 revision Summer Use this booklet to help you prepare for your first PR in Year 11. Set 2
MATHS Year 10 to 11 revision Summer 2018 Use this booklet to help you prepare for your first PR in Year 11. Set 2 Name Maths group 1 Cumulative frequency Things to remember: Use a running total adding
More informationDescribing Data. Presenting Categorical Data Graphically. Describing Data 143
Describing Data 143 Describing Data Once we have collected data from surveys or experiments, we need to summarize and present the data in a way that will be meaningful to the reader. We will begin with
More informationBiggar High School Mathematics Department. S1 Block 1. Revision Booklet GOLD
Biggar High School Mathematics Department S1 Block 1 Revision Booklet GOLD Contents MNU 3-01a MNU 3-03a MNU 3-03b Page Whole Number Calculations & Decimals 3 MTH 3-05b MTH 3-06a MTH 4-06a Multiples, Factors,
More informationCollecting, Displaying, and Analyzing Data
Collecting, Displaying, and Analyzing Data Solutions Key Are You Ready? 1. 3 1 5 1 4 1 7 4 5 19 4 5 4 3 4 5 4.75 3.. 1 1.7 1 1.8 5 5.7 3 3 5 1.9 5. 87, 10, 103, 104, 105, 118 6. 19, 4, 33, 56, 65, 76,
More informationGoing back to the definition of Biostatistics. Organizing and Presenting Data. Learning Objectives. Nominal Data 10/10/2016. Tabulation and Graphs
1/1/1 Organizing and Presenting Data Tabulation and Graphs Introduction to Biostatistics Haleema Masud Going back to the definition of Biostatistics The collection, organization, summarization, analysis,
More informationLearning Objectives. Describing Data: Displaying and Exploring Data. Dot Plot. Dot Plot 12/9/2015
Describing Data: Displaying and Exploring Data Chapter 4 Learning Objectives Develop and interpret a dot plot. Develop and interpret a stem-and-leaf display. Compute and understand quartiles. Construct
More informationTEKSING TOWARD STAAR MATHEMATICS GRADE 6. Student Book
TEKSING TOWARD STAAR MATHEMATICS GRADE 6 Student Book TEKSING TOWARD STAAR 2014 Six Weeks 1 Lesson 1 STAAR Category 1 Grade 6 Mathematics TEKS 6.2A/6.2B Problem-Solving Model Step Description of Step 1
More informationDescribing Data: Displaying and Exploring Data. Chapter 4
Describing Data: Displaying and Exploring Data Chapter 4 Learning Objectives Develop and interpret a dot plot. Develop and interpret a stem-and-leaf display. Compute and understand quartiles. Construct
More informationEE EXPERIMENT 3 RESISTIVE NETWORKS AND COMPUTATIONAL ANALYSIS INTRODUCTION
EE 2101 - EXPERIMENT 3 RESISTIVE NETWORKS AND COMPUTATIONAL ANALYSIS INTRODUCTION The resistors used in this laboratory are carbon composition resistors, consisting of graphite or some other type of carbon
More informationStat 20: Intro to Probability and Statistics
Stat 20: Intro to Probability and Statistics Lecture 4: Data Displays (cont.) Tessa L. Childers-Day UC Berkeley 26 June 2014 By the end of this lecture... You will be able to: Comprehend displays of quantitative
More informationProbability WS 1 Counting , , , a)625 b)1050c) a)20358,520 b) 1716 c) 55,770
Probability WS 1 Counting 1.28 2.13,800 3.5832 4.30 5.. 15 7.72 8.33, 5 11. 15,504 12. a)25 b)1050c)2275 13. a)20358,520 b) 171 c) 55,770 d) 12,271,512e) 1128 f) 17 14. 438 15. 2,000 1. 11,700 17. 220,
More informationGCSE MATHEMATICS 43601H. Higher Tier Unit 1 Statistics and Number. Morning. (JUN H01) WMP/Jun16/E4
Please write clearly in block capitals. Centre number Candidate number Surname Forename(s) Candidate signature GCSE H MATHEMATICS Higher Tier Unit 1 Statistics and Number Thursday 26 May 2016 Materials
More information1.3 Density Curves and Normal Distributions
1.3 Density Curves and Normal Distributions Ulrich Hoensch Tuesday, January 22, 2013 Fitting Density Curves to Histograms Advanced statistical software (NOT Microsoft Excel) can produce smoothed versions
More informationUNCORRECTED PAGE PROOFS
Topic 14 Representing and interpreting data 14.1 Overview Why learn this? Understanding data helps us to make sense of graphs, charts and advertising material. The media often present statistics such as
More informationStatistics 101: Section L Laboratory 10
Statistics 101: Section L Laboratory 10 This lab looks at the sampling distribution of the sample proportion pˆ and probabilities associated with sampling from a population with a categorical variable.
More informationXL1F: V0G Create Histogram using HISTOGRAM in Excel 2013
XL1F: Create Histogram using HISTOGRAM in Excel 2013 V0G 1 Create Histogram using HISTOGRAM in Excel 2013 Milo Schield Member: International Statistical Institute US Rep: International Statistical Literacy
More information1.3 Density Curves and Normal Distributions
1.3 Density Curves and Normal Distributions Ulrich Hoensch Tuesday, September 11, 2012 Fitting Density Curves to Histograms Advanced statistical software (NOT Microsoft Excel) can produce smoothed versions
More informationIsmor Fischer, 5/26/
Ismor Fischer, 5/6/06.5-.5 Problems. Follow the instructions in the posted R code folder (http://www.stat.wisc.edu/~ifischer/intro_stat/lecture_notes/rcode/) for this problem, to reproduce the results
More informationDescribing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation. Chapter 2
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2 Learning Objectives Organize qualitative data into a frequency table. Present a frequency table as a bar chart
More informationData Analysis and Probability
Data Analysis and Probability Vocabulary List Mean- the sum of a group of numbers divided by the number of addends Median- the middle value in a group of numbers arranged in order Mode- the number or item
More informationMath Mammoth End-of-the-Year Test, Grade 6 South African Version, Answer Key
Math Mammoth End-of-the-Year Test, Grade 6 South African Version, Answer Key Instructions In order to continue with the Math Mammoth Grade 7 South African Version Complete Worktext, I recommend that the
More informationMDM4U Some Review Questions
1. Expand and simplify the following expressions. a) ( y 1) 7 b) ( 3x 2) 6 2x + 3 5 2. In the expansion of ( ) 9 MDM4U Some Review Questions, find a) the 6 th term b) 12 the term containing x n + 7 n +
More informationYou must have: Pen, HB pencil, eraser, calculator, ruler, protractor.
Write your name here Surname Other names Pearson Edexcel Award Statistical Methods Level 2 Calculator allowed Centre Number Candidate Number Wednesday 14 May 2014 Morning Time: 1 hour 30 minutes You must
More informationAlgebra 2 P49 Pre 10 1 Measures of Central Tendency Box and Whisker Plots Variation and Outliers
Algebra 2 P49 Pre 10 1 Measures of Central Tendency Box and Whisker Plots Variation and Outliers 10 1 Sample Spaces and Probability Mean Average = 40/8 = 5 Measures of Central Tendency 2,3,3,4,5,6,8,9
More informationThis Chapter s Topics
This Chapter s Topics Today, we re going to talk about three things: Frequency distributions Graphs Charts Frequency distributions, graphs, and charts 1 Frequency distributions Frequency distributions
More information