UNIVERSITY OF BAHRAIN COLLEGE OF APPLIED STUDIES STATA231 LAB 4. Creating A boxplot Or whisker diagram

Size: px
Start display at page:

Download "UNIVERSITY OF BAHRAIN COLLEGE OF APPLIED STUDIES STATA231 LAB 4. Creating A boxplot Or whisker diagram"

Transcription

1 UNIVERSITY OF BAHRAIN COLLEGE OF APPLIED STUDIES STATA231 LAB 4 Creating A boxplot Or whisker diagram DESCRIPTION: A boxplot, or box and whisker diagram provides a simple graphical summary of a set of data. It shows a measure of central location (the median), two measures of dispersion (the range and inter-quartile range), the skewness (from the orientation of the median relative to the quartiles) and potential outliers (marked individually). Boxplots are especially useful when comparing two or more sets of data. Regrettably, there is currently no boxplot facility in Microsoft Excel. For simplicity, many recent statistics textbooks omit the fences used to identify possible outliers. These simplified boxplots, displaying most of the important features, can be drawn quite easily in Excel. In the absence of any fences, a simple rule is that a whisker which is longer than three times the length of the box probably indicates an outlier. Edited by: Alaa Alsaadoon Page 1

2 Activity 1: How to create a multiple boxplot 1. Create folder on the desktop and name it Myboxplot. 2. Go to Start All Programs Microsoft Office Microsoft Excel Enter the following Data in Sheet 1: East West north jan feb mar apr may jun jul aug In the same sheet do the following (see the figure) : To calculate the Minimum use the function min. To calculate the 25th percent use the Percentile function (= PERCENTILE (cell range, percentage out of 1). To calculate the Median use the function Median function (=MEDIAN(cell range) To calculate the 75th percent use the function max function. min Q median Q max Edited by: Alaa Alsaadoon Page 2

3 5. Calculate the following using these formulas and the data from the previous table( Q1, Q2, Q3, max, min): Box-hidden = Box-lower = Box-upper = Top whisker = Bottom whisker = Q1 Median-Q1 Q3-median max-q3 Q1-min Chart Data East West north box-hidden box-lower box-upper Top Bottom From the Chart Data Table Select the Column titles (west, East, north) and the numbers for (box-hidden, box-lower, box-upper with headings) See next figure. Edited by: Alaa Alsaadoon Page 3

4 7. Go to insert and select Column chart and select the Stacked column. Edited by: Alaa Alsaadoon Page 4

5 Note1: You will have only 3 columns since you have 3 sets of data column titles(east, West & North). In general you will have a number of columns corresponding the data input series. Note2: if the data series is only two you have to select only two titles for the input. Otherwise you should select all the input column titles with the first column heading( which is not a data column). Note3: If your chart contain wrong number of columns this means that your selection is wrong 8. Select box-hidden and go to Format tab in chart tools then fill No fill Edited by: Alaa Alsaadoon Page 5

6 9. Click the Chart Elements button 10. Click the arrow next to Error Bars More options 11. Select box-hidden Edited by: Alaa Alsaadoon Page 6

7 12. Select Minus from Direction and select Custom then specify value for negative and select the last data from data for chart table (bottom) 13. Do the same steps click the Chart Elements button then click the arrow next to Error Bars More options and select box-upper Edited by: Alaa Alsaadoon Page 7

8 14. Select Plus from Direction and select Custom then specify value for Positive and select the last data from data for chart table (Top) Edited by: Alaa Alsaadoon Page 8

9 15. Delete the Title and the Legend. 16. You Finish your Chart. Edited by: Alaa Alsaadoon Page 9

10 ADDING MORE STATISTICS CALULATIONS: For the First table (data input) in the sheet1 do the following: 1. Calculate Mean (Hint: use Average function). 2. Calculate Median (Hint: use median function). 3. Calculate standard deviation (Hint: use STDEV function). Good Luck Edited by: Alaa Alsaadoon Page 10

How to Create a Box Plot in Excel

How to Create a Box Plot in Excel How to Create a Box Plot in Excel Prerequisite knowledge: Box Plot also called a box-and-whisker plot provides a horizontal or vertical graphical representation of a distribution of data where the end

More information

Math 167 Pre-Statistics. Chapter 4 Summarizing Data Numerically Section 3 Boxplots

Math 167 Pre-Statistics. Chapter 4 Summarizing Data Numerically Section 3 Boxplots Math 167 Pre-Statistics Chapter 4 Summarizing Data Numerically Section 3 Boxplots Objectives 1. Find quartiles of some data. 2. Find the interquartile range of some data. 3. Construct a boxplot to describe

More information

Measures of Position. 1. Determine which student did better

Measures of Position. 1. Determine which student did better Measures of Position z-score (standard score) = number of standard deviations that a given value is above or below the mean (Round z to two decimal places) Sample z -score x x z = s Population z - score

More information

Numerical Descriptive Measures

Numerical Descriptive Measures Chapter 3 Numerical Descriptive Measures 1 Numerical Descriptive Measures Chapter 3 Measures of Central Tendency and Measures of Dispersion A sample of 40 students at a university was randomly selected,

More information

Boxplots. Lecture 17 Section Robb T. Koether. Hampden-Sydney College. Wed, Feb 10, 2010

Boxplots. Lecture 17 Section Robb T. Koether. Hampden-Sydney College. Wed, Feb 10, 2010 Boxplots Lecture 17 Section 5.3.3 Robb T. Koether Hampden-Sydney College Wed, Feb 10, 2010 Robb T. Koether (Hampden-Sydney College) Boxplots Wed, Feb 10, 2010 1 / 34 Outline 1 Boxplots TI-83 Boxplots 2

More information

Creating a Box-and-Whisker Graph in Excel: Step One: Step Two:

Creating a Box-and-Whisker Graph in Excel: Step One: Step Two: Creating a Box-and-Whisker Graph in Excel: It s not as simple as selecting Box and Whisker from the Chart Wizard. But if you ve made a few graphs in Excel before, it s not that complicated to convince

More information

Chapter 5. Understanding and Comparing Distributions. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 5. Understanding and Comparing Distributions. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 5 Understanding and Comparing Distributions The Big Picture We can answer much more interesting questions about variables when we compare distributions for different groups. Below is a histogram

More information

3. EXCEL FORMULAS & TABLES

3. EXCEL FORMULAS & TABLES Winter 2019 CS130 - Excel Formulas & Tables 1 3. EXCEL FORMULAS & TABLES Winter 2019 Winter 2019 CS130 - Excel Formulas & Tables 2 Cell References Absolute reference - refer to cells by their fixed position.

More information

Excel Functions & Tables

Excel Functions & Tables Excel Functions & Tables SPRING 2016 Spring 2016 CS130 - EXCEL FUNCTIONS & TABLES 1 Review of Functions Quick Mathematics Review As it turns out, some of the most important mathematics for this course

More information

Using Excel, Chapter 2: Descriptive Statistics

Using Excel, Chapter 2: Descriptive Statistics 1 Using Excel, Chapter 2: Descriptive Statistics Individual Descriptive Statistics using Excel Functions 2 A Summary of Descriptive Statistics Using the Analysis ToolPak (Windows Users) 3 A Summary of

More information

Name Date Types of Graphs and Creating Graphs Notes

Name Date Types of Graphs and Creating Graphs Notes Name Date Types of Graphs and Creating Graphs Notes Graphs are helpful visual representations of data. Different graphs display data in different ways. Some graphs show individual data, but many do not.

More information

Excel 2010 Charts and Graphs

Excel 2010 Charts and Graphs Excel 2010 Charts and Graphs In older versions of Excel the chart engine looked tired and old. Little had changed in 15 years in charting. The popular chart wizard has been replaced in Excel 2010 by a

More information

STA Module 2B Organizing Data and Comparing Distributions (Part II)

STA Module 2B Organizing Data and Comparing Distributions (Part II) STA 2023 Module 2B Organizing Data and Comparing Distributions (Part II) Learning Objectives Upon completing this module, you should be able to 1 Explain the purpose of a measure of center 2 Obtain and

More information

STA Learning Objectives. Learning Objectives (cont.) Module 2B Organizing Data and Comparing Distributions (Part II)

STA Learning Objectives. Learning Objectives (cont.) Module 2B Organizing Data and Comparing Distributions (Part II) STA 2023 Module 2B Organizing Data and Comparing Distributions (Part II) Learning Objectives Upon completing this module, you should be able to 1 Explain the purpose of a measure of center 2 Obtain and

More information

Measures of Dispersion

Measures of Dispersion Measures of Dispersion 6-3 I Will... Find measures of dispersion of sets of data. Find standard deviation and analyze normal distribution. Day 1: Dispersion Vocabulary Measures of Variation (Dispersion

More information

Lab 7 Statistics I LAB 7 QUICK VIEW

Lab 7 Statistics I LAB 7 QUICK VIEW Lab 7 Statistics I This lab will cover how to do statistical calculations in excel using formulas. (Note that your version of excel may have additional formulas to calculate statistics, but these formulas

More information

STA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 3 Descriptive Measures

STA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 3 Descriptive Measures STA 2023 Module 3 Descriptive Measures Learning Objectives Upon completing this module, you should be able to: 1. Explain the purpose of a measure of center. 2. Obtain and interpret the mean, median, and

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 152 Introduction When analyzing data, you often need to study the characteristics of a single group of numbers, observations, or measurements. You might want to know the center and the spread about

More information

Homework 1 Excel Basics

Homework 1 Excel Basics Homework 1 Excel Basics Excel is a software program that is used to organize information, perform calculations, and create visual displays of the information. When you start up Excel, you will see the

More information

Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data

Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data Chapter 2 Descriptive Statistics: Organizing, Displaying and Summarizing Data Objectives Student should be able to Organize data Tabulate data into frequency/relative frequency tables Display data graphically

More information

Chapter 5. Understanding and Comparing Distributions. Copyright 2010, 2007, 2004 Pearson Education, Inc.

Chapter 5. Understanding and Comparing Distributions. Copyright 2010, 2007, 2004 Pearson Education, Inc. Chapter 5 Understanding and Comparing Distributions The Big Picture We can answer much more interesting questions about variables when we compare distributions for different groups. Below is a histogram

More information

3.3 The Five-Number Summary Boxplots

3.3 The Five-Number Summary Boxplots 3.3 The Five-Number Summary Boxplots Tom Lewis Fall Term 2009 Tom Lewis () 3.3 The Five-Number Summary Boxplots Fall Term 2009 1 / 9 Outline 1 Quartiles 2 Terminology Tom Lewis () 3.3 The Five-Number Summary

More information

Chapter 6: DESCRIPTIVE STATISTICS

Chapter 6: DESCRIPTIVE STATISTICS Chapter 6: DESCRIPTIVE STATISTICS Random Sampling Numerical Summaries Stem-n-Leaf plots Histograms, and Box plots Time Sequence Plots Normal Probability Plots Sections 6-1 to 6-5, and 6-7 Random Sampling

More information

Exercise 1: Introduction to Stata

Exercise 1: Introduction to Stata Exercise 1: Introduction to Stata New Stata Commands use describe summarize stem graph box histogram log on, off exit New Stata Commands Downloading Data from the Web I recommend that you use Internet

More information

Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1

Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1 Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1 KEY SKILLS: Organize a data set into a frequency distribution. Construct a histogram to summarize a data set. Compute the percentile for a particular

More information

Survey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9

Survey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9 Survey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9 Contents 1 Introduction to Using Excel Spreadsheets 2 1.1 A Serious Note About Data Security.................................... 2 1.2

More information

STP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES

STP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES STP 6 ELEMENTARY STATISTICS NOTES PART - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES Chapter covered organizing data into tables, and summarizing data with graphical displays. We will now use

More information

CHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data.

CHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data. 1 CHAPTER 1 Introduction Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data. Variable: Any characteristic of a person or thing that can be expressed

More information

Understanding and Comparing Distributions. Chapter 4

Understanding and Comparing Distributions. Chapter 4 Understanding and Comparing Distributions Chapter 4 Objectives: Boxplot Calculate Outliers Comparing Distributions Timeplot The Big Picture We can answer much more interesting questions about variables

More information

Please consider the environment before printing this tutorial. Printing is usually a waste.

Please consider the environment before printing this tutorial. Printing is usually a waste. Ortiz 1 ESCI 1101 Excel Tutorial Fall 2011 Please consider the environment before printing this tutorial. Printing is usually a waste. Many times when doing research, the graphical representation of analyzed

More information

Chapter 3. Descriptive Measures. Slide 3-2. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 3. Descriptive Measures. Slide 3-2. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 3 Descriptive Measures Slide 3-2 Section 3.1 Measures of Center Slide 3-3 Definition 3.1 Mean of a Data Set The mean of a data set is the sum of the observations divided by the number of observations.

More information

Copyright 2015 by Sean Connolly

Copyright 2015 by Sean Connolly 1 Copyright 2015 by Sean Connolly All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other

More information

Summarising Data. Mark Lunt 09/10/2018. Arthritis Research UK Epidemiology Unit University of Manchester

Summarising Data. Mark Lunt 09/10/2018. Arthritis Research UK Epidemiology Unit University of Manchester Summarising Data Mark Lunt Arthritis Research UK Epidemiology Unit University of Manchester 09/10/2018 Summarising Data Today we will consider Different types of data Appropriate ways to summarise these

More information

Chapter 3 - Displaying and Summarizing Quantitative Data

Chapter 3 - Displaying and Summarizing Quantitative Data Chapter 3 - Displaying and Summarizing Quantitative Data 3.1 Graphs for Quantitative Data (LABEL GRAPHS) August 25, 2014 Histogram (p. 44) - Graph that uses bars to represent different frequencies or relative

More information

More Numerical and Graphical Summaries using Percentiles. David Gerard

More Numerical and Graphical Summaries using Percentiles. David Gerard More Numerical and Graphical Summaries using Percentiles David Gerard 2017-09-18 1 Learning Objectives Percentiles Five Number Summary Boxplots to compare distributions. Sections 1.6.5 and 1.6.6 in DBC.

More information

Example how not to do it: JMP in a nutshell 1 HR, 17 Apr Subject Gender Condition Turn Reactiontime. A1 male filler

Example how not to do it: JMP in a nutshell 1 HR, 17 Apr Subject Gender Condition Turn Reactiontime. A1 male filler JMP in a nutshell 1 HR, 17 Apr 2018 The software JMP Pro 14 is installed on the Macs of the Phonetics Institute. Private versions can be bought from

More information

DAY 52 BOX-AND-WHISKER

DAY 52 BOX-AND-WHISKER DAY 52 BOX-AND-WHISKER VOCABULARY The Median is the middle number of a set of data when the numbers are arranged in numerical order. The Range of a set of data is the difference between the highest and

More information

LibPAS Graphs Table Trend/PI Trend Period Comparison PI Gap Graph/PI Summary Graph

LibPAS Graphs Table Trend/PI Trend Period Comparison PI Gap Graph/PI Summary Graph LibPAS Graphs Graphic drill-downs are available in the Table, Trend/PI, Trend, Period Comparison, and PI Gap Report Types. Graph/PI and Summary Graph Report Types were designed specifically as graph reports.

More information

IT 403 Practice Problems (1-2) Answers

IT 403 Practice Problems (1-2) Answers IT 403 Practice Problems (1-2) Answers #1. Using Tukey's Hinges method ('Inclusionary'), what is Q3 for this dataset? 2 3 5 7 11 13 17 a. 7 b. 11 c. 12 d. 15 c (12) #2. How do quartiles and percentiles

More information

UNIT 1A EXPLORING UNIVARIATE DATA

UNIT 1A EXPLORING UNIVARIATE DATA A.P. STATISTICS E. Villarreal Lincoln HS Math Department UNIT 1A EXPLORING UNIVARIATE DATA LESSON 1: TYPES OF DATA Here is a list of important terms that we must understand as we begin our study of statistics

More information

ADVANCED SPREADSHEET APPLICATIONS (07)

ADVANCED SPREADSHEET APPLICATIONS (07) (07) CONTESTANT ID# START TIME END TIME Financial Services Events Sponsored by the American Institute of Certified Public Accounts TOTAL POINTS (300) Failure to adhere to any of the following rules will

More information

Training Guide. Microsoft Excel 2010 Advanced 1 Using Conditional and Custom Formats. Applying Conditional Formatting

Training Guide. Microsoft Excel 2010 Advanced 1 Using Conditional and Custom Formats. Applying Conditional Formatting Microsoft Excel 2010 Advanced 1 Using Conditional and Custom Formats Applying Conditional Formatting Excel lets you quickly apply Conditional Formatting to help you explore and analyze data visually, detect

More information

Pre-Calculus Multiple Choice Questions - Chapter S2

Pre-Calculus Multiple Choice Questions - Chapter S2 1 Which of the following is NOT part of a univariate EDA? a Shape b Center c Dispersion d Distribution Pre-Calculus Multiple Choice Questions - Chapter S2 2 Which of the following is NOT an acceptable

More information

Data Management Project Using Software to Carry Out Data Analysis Tasks

Data Management Project Using Software to Carry Out Data Analysis Tasks Data Management Project Using Software to Carry Out Data Analysis Tasks This activity involves two parts: Part A deals with finding values for: Mean, Median, Mode, Range, Standard Deviation, Max and Min

More information

b. Enter the data in the following table. Begin to enter data in cell A1 and leave row 3 blank. The Total row label should appear in cell A10.

b. Enter the data in the following table. Begin to enter data in cell A1 and leave row 3 blank. The Total row label should appear in cell A10. Apply Your Knowledge Complete the following exercises in order, as directed by your teacher. As you work through these projects, you will create four quarterly worksheets, a summary worksheet for annual

More information

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency Math 1 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency lowest value + highest value midrange The word average: is very ambiguous and can actually refer to the mean,

More information

Basic tasks in Excel 2013

Basic tasks in Excel 2013 Basic tasks in Excel 2013 Excel is an incredibly powerful tool for getting meaning out of vast amounts of data. But it also works really well for simple calculations and tracking almost any kind of information.

More information

STA 570 Spring Lecture 5 Tuesday, Feb 1

STA 570 Spring Lecture 5 Tuesday, Feb 1 STA 570 Spring 2011 Lecture 5 Tuesday, Feb 1 Descriptive Statistics Summarizing Univariate Data o Standard Deviation, Empirical Rule, IQR o Boxplots Summarizing Bivariate Data o Contingency Tables o Row

More information

LABORATORY 1 Data Analysis & Graphing in Excel

LABORATORY 1 Data Analysis & Graphing in Excel LABORATORY 1 Data Analysis & Graphing in Excel Goal: In this lab, you will learn how to enter and manipulate data in Excel and you will learn how to make the graphs you will need for your lab write-ups.

More information

When comparing in different sets of, the deviations should be compared only if the two sets of data use the

When comparing in different sets of, the deviations should be compared only if the two sets of data use the CHEBYSHEV S THEOREM The (or fraction) of any data set lying within K standard deviations of the mean is always 2 the following statements: 1 1, K 1 K At least ¾ or 75% of all values lie within 2 standard

More information

Microsoft Excel 2007 Lesson 7: Charts and Comments

Microsoft Excel 2007 Lesson 7: Charts and Comments Microsoft Excel 2007 Lesson 7: Charts and Comments Open Example.xlsx if it is not already open. Click on the Example 3 tab to see the worksheet for this lesson. This is essentially the same worksheet that

More information

Chapter 2 Describing, Exploring, and Comparing Data

Chapter 2 Describing, Exploring, and Comparing Data Slide 1 Chapter 2 Describing, Exploring, and Comparing Data Slide 2 2-1 Overview 2-2 Frequency Distributions 2-3 Visualizing Data 2-4 Measures of Center 2-5 Measures of Variation 2-6 Measures of Relative

More information

How individual data points are positioned within a data set.

How individual data points are positioned within a data set. Section 3.4 Measures of Position Percentiles How individual data points are positioned within a data set. P k is the value such that k% of a data set is less than or equal to P k. For example if we said

More information

Day 4 Percentiles and Box and Whisker.notebook. April 20, 2018

Day 4 Percentiles and Box and Whisker.notebook. April 20, 2018 Day 4 Box & Whisker Plots and Percentiles In a previous lesson, we learned that the median divides a set a data into 2 equal parts. Sometimes it is necessary to divide the data into smaller more precise

More information

Mensch-Maschine-Interaktion 2 Übung 10

Mensch-Maschine-Interaktion 2 Übung 10 Mensch-Maschine-Interaktion 2 Übung 10 Ludwig-Maximilians-Universität München Wintersemester 2012/2013 Alexander De Luca, Aurélien Tabard Ludwig-Maximilians-Universität München Mensch-Maschine-Interaktion

More information

INFORMATION TECHNOLOGY SPREADSHEETS. Part 1

INFORMATION TECHNOLOGY SPREADSHEETS. Part 1 INFORMATION TECHNOLOGY SPREADSHEETS Part 1 Page: 1 Created by John Martin Exercise Built-In Lists 1. Start Excel Spreadsheet 2. In cell B1 enter Mon 3. In cell C1 enter Tue 4. Select cell C1 5. At the

More information

Measures of Position

Measures of Position Measures of Position In this section, we will learn to use fractiles. Fractiles are numbers that partition, or divide, an ordered data set into equal parts (each part has the same number of data entries).

More information

MAT 155. Z score. August 31, S3.4o3 Measures of Relative Standing and Boxplots

MAT 155. Z score. August 31, S3.4o3 Measures of Relative Standing and Boxplots MAT 155 Dr. Claude Moore Cape Fear Community College Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3 1 Review and Preview 3 2 Measures of Center 3 3 Measures of Variation 3 4 Measures

More information

Separate Text Across Cells The Convert Text to Columns Wizard can help you to divide the text into columns separated with specific symbols.

Separate Text Across Cells The Convert Text to Columns Wizard can help you to divide the text into columns separated with specific symbols. Chapter 7 Highlights 7.1 The Use of Formulas and Functions 7.2 Creating Charts 7.3 Using Chart Toolbar 7.4 Changing Source Data of a Chart Separate Text Across Cells The Convert Text to Columns Wizard

More information

Box and Whisker Plot Review A Five Number Summary. October 16, Box and Whisker Lesson.notebook. Oct 14 5:21 PM. Oct 14 5:21 PM.

Box and Whisker Plot Review A Five Number Summary. October 16, Box and Whisker Lesson.notebook. Oct 14 5:21 PM. Oct 14 5:21 PM. Oct 14 5:21 PM Oct 14 5:21 PM Box and Whisker Plot Review A Five Number Summary Activities Practice Labeling Title Page 1 Click on each word to view its definition. Outlier Median Lower Extreme Upper Extreme

More information

SAS Visual Analytics 8.2: Working with Report Content

SAS Visual Analytics 8.2: Working with Report Content SAS Visual Analytics 8.2: Working with Report Content About Objects After selecting your data source and data items, add one or more objects to display the results. SAS Visual Analytics provides objects

More information

Minitab Notes for Activity 1

Minitab Notes for Activity 1 Minitab Notes for Activity 1 Creating the Worksheet 1. Label the columns as team, heat, and time. 2. Have Minitab automatically enter the team data for you. a. Choose Calc / Make Patterned Data / Simple

More information

Getting Started with Microsoft Excel 2013

Getting Started with Microsoft Excel 2013 2015 Bow Valley College 1 Microsoft Excel Vocabulary Getting Started with Microsoft Excel 2013 Column: A grouping of information or data organized from top to bottom. In Excel columns are named with letters

More information

GRAPHING IN EXCEL EXCEL LAB #2

GRAPHING IN EXCEL EXCEL LAB #2 GRAPHING IN EXCEL EXCEL LAB #2 ECON/BUSN 180: Quantitative Methods for Economics and Business Department of Economics and Business Lake Forest College Lake Forest, IL 60045 Copyright, 2011 Overview This

More information

Survey Design, Distribution & Analysis Software. professional quest. Whitepaper Extracting Data into Microsoft Excel

Survey Design, Distribution & Analysis Software. professional quest. Whitepaper Extracting Data into Microsoft Excel Survey Design, Distribution & Analysis Software professional quest Whitepaper Extracting Data into Microsoft Excel WHITEPAPER Extracting Scoring Data into Microsoft Excel INTRODUCTION... 1 KEY FEATURES

More information

BIOSTATISTICS LABORATORY PART 1: INTRODUCTION TO DATA ANALYIS WITH STATA: EXPLORING AND SUMMARIZING DATA

BIOSTATISTICS LABORATORY PART 1: INTRODUCTION TO DATA ANALYIS WITH STATA: EXPLORING AND SUMMARIZING DATA BIOSTATISTICS LABORATORY PART 1: INTRODUCTION TO DATA ANALYIS WITH STATA: EXPLORING AND SUMMARIZING DATA Learning objectives: Getting data ready for analysis: 1) Learn several methods of exploring the

More information

Boxplot

Boxplot Boxplot By: Meaghan Petix, Samia Porto & Franco Porto A boxplot is a convenient way of graphically depicting groups of numerical data through their five number summaries: the smallest observation (sample

More information

Chapter 3: Data Description Calculate Mean, Median, Mode, Range, Variation, Standard Deviation, Quartiles, standard scores; construct Boxplots.

Chapter 3: Data Description Calculate Mean, Median, Mode, Range, Variation, Standard Deviation, Quartiles, standard scores; construct Boxplots. MINITAB Guide PREFACE Preface This guide is used as part of the Elementary Statistics class (Course Number 227) offered at Los Angeles Mission College. It is structured to follow the contents of the textbook

More information

Orange County Public Schools

Orange County Public Schools Engelwood Elementary School Replacement 100 Percent Design Community Meeting May 16, 2016 1 Meeting Agenda May 16, 2016 Welcome School Board Member Daryl Flynn Introductions Project Update - Architect:

More information

Measures of Central Tendency. A measure of central tendency is a value used to represent the typical or average value in a data set.

Measures of Central Tendency. A measure of central tendency is a value used to represent the typical or average value in a data set. Measures of Central Tendency A measure of central tendency is a value used to represent the typical or average value in a data set. The Mean the sum of all data values divided by the number of values in

More information

To calculate the arithmetic mean, sum all the values and divide by n (equivalently, multiple 1/n): 1 n. = 29 years.

To calculate the arithmetic mean, sum all the values and divide by n (equivalently, multiple 1/n): 1 n. = 29 years. 3: Summary Statistics Notation Consider these 10 ages (in years): 1 4 5 11 30 50 8 7 4 5 The symbol n represents the sample size (n = 10). The capital letter X denotes the variable. x i represents the

More information

+ Statistical Methods in

+ Statistical Methods in 9/4/013 Statistical Methods in Practice STA/MTH 379 Dr. A. B. W. Manage Associate Professor of Mathematics & Statistics Department of Mathematics & Statistics Sam Houston State University Discovering Statistics

More information

Quantitative - One Population

Quantitative - One Population Quantitative - One Population The Quantitative One Population VISA procedures allow the user to perform descriptive and inferential procedures for problems involving one population with quantitative (interval)

More information

Averages and Variation

Averages and Variation Averages and Variation 3 Copyright Cengage Learning. All rights reserved. 3.1-1 Section 3.1 Measures of Central Tendency: Mode, Median, and Mean Copyright Cengage Learning. All rights reserved. 3.1-2 Focus

More information

Assignment 3 due Thursday Oct. 11

Assignment 3 due Thursday Oct. 11 Instructor Linda C. Stephenson due Thursday Oct. 11 GENERAL NOTE: These assignments often build on each other what you learn in one assignment may be carried over to subsequent assignments. If I have already

More information

Univariate Statistics Summary

Univariate Statistics Summary Further Maths Univariate Statistics Summary Types of Data Data can be classified as categorical or numerical. Categorical data are observations or records that are arranged according to category. For example:

More information

Rockefeller College MPA Excel Workshop: Clinton Impeachment Data Example

Rockefeller College MPA Excel Workshop: Clinton Impeachment Data Example Rockefeller College MPA Excel Workshop: Clinton Impeachment Data Example This exercise is a follow-up to the MPA admissions example used in the Excel Workshop. This document contains detailed solutions

More information

Practical 2: Using Minitab (not assessed, for practice only!)

Practical 2: Using Minitab (not assessed, for practice only!) Practical 2: Using Minitab (not assessed, for practice only!) Instructions 1. Read through the instructions below for Accessing Minitab. 2. Work through all of the exercises on this handout. If you need

More information

STA Module 4 The Normal Distribution

STA Module 4 The Normal Distribution STA 2023 Module 4 The Normal Distribution Learning Objectives Upon completing this module, you should be able to 1. Explain what it means for a variable to be normally distributed or approximately normally

More information

STA /25/12. Module 4 The Normal Distribution. Learning Objectives. Let s Look at Some Examples of Normal Curves

STA /25/12. Module 4 The Normal Distribution. Learning Objectives. Let s Look at Some Examples of Normal Curves STA 2023 Module 4 The Normal Distribution Learning Objectives Upon completing this module, you should be able to 1. Explain what it means for a variable to be normally distributed or approximately normally

More information

Fluidity Trader Historical Data for Ensign Software Playback

Fluidity Trader Historical Data for Ensign Software Playback Fluidity Trader Historical Data for Ensign Software Playback This support document will walk you through the steps of obtaining historical data for esignal into your Ensign Software program so that you

More information

Let s take a closer look at the standard deviation.

Let s take a closer look at the standard deviation. For this illustration, we have selected 2 random samples of 500 respondents each from the voter.xls file we have been using in class. We recorded the ages of each of the 500 respondents and computed the

More information

Open Excel by following the directions listed below: Click on Start, select Programs, and the click on Microsoft Excel.

Open Excel by following the directions listed below: Click on Start, select Programs, and the click on Microsoft Excel. Candy is Dandy Grading Rubric You have been hired to conduct some market research about M&M's. First, you had your team purchase 4 large bags and the results are given for the contents of those bags. You

More information

Section 6.3: Measures of Position

Section 6.3: Measures of Position Section 6.3: Measures of Position Measures of position are numbers showing the location of data values relative to the other values within a data set. They can be used to compare values from different

More information

8.4 Organizing Data In Excel. MDM - Term 3 Statistics

8.4 Organizing Data In Excel. MDM - Term 3 Statistics 8.4 Organizing Data In Excel MDM - Term 3 Statistics WARM UP Log in to your computer Open Microsoft Excel Open a new sheet OBJECTIVES Enter data into Excel Use Excel to create a pie chart and personalize

More information

Chapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd

Chapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd Chapter 3: Data Description - Part 3 Read: Sections 1 through 5 pp 92-149 Work the following text examples: Section 3.2, 3-1 through 3-17 Section 3.3, 3-22 through 3.28, 3-42 through 3.82 Section 3.4,

More information

The first few questions on this worksheet will deal with measures of central tendency. These data types tell us where the center of the data set lies.

The first few questions on this worksheet will deal with measures of central tendency. These data types tell us where the center of the data set lies. Instructions: You are given the following data below these instructions. Your client (Courtney) wants you to statistically analyze the data to help her reach conclusions about how well she is teaching.

More information

Chapter 2 Exploring Data with Graphs and Numerical Summaries

Chapter 2 Exploring Data with Graphs and Numerical Summaries Chapter 2 Exploring Data with Graphs and Numerical Summaries Constructing a Histogram on the TI-83 Suppose we have a small class with the following scores on a quiz: 4.5, 5, 5, 6, 6, 7, 8, 8, 8, 8, 9,

More information

Polycom Advantage Service Endpoint Utilization Report

Polycom Advantage Service Endpoint Utilization Report Polycom Advantage Service Endpoint Utilization Report ABC Company 9/1/2018-9/30/2018 Polycom, Inc. All rights reserved. SAMPLE REPORT d This report is for demonstration purposes only. Any resemblance to

More information

Polycom Advantage Service Endpoint Utilization Report

Polycom Advantage Service Endpoint Utilization Report Polycom Advantage Service Endpoint Utilization Report ABC Company 3/1/2016-3/31/2016 Polycom, Inc. All rights reserved. SAMPLE REPORT d This report is for demonstration purposes only. Any resemblance to

More information

Chapter 6: Comparing Two Means Section 6.1: Comparing Two Groups Quantitative Response

Chapter 6: Comparing Two Means Section 6.1: Comparing Two Groups Quantitative Response Stat 300: Intro to Probability & Statistics Textbook: Introduction to Statistical Investigations Name: American River College Chapter 6: Comparing Two Means Section 6.1: Comparing Two Groups Quantitative

More information

How to Excel - Part 2

How to Excel - Part 2 Table of Contents Exercise 1: Protecting cells and sheets... 3 Task 1 Protecting sheet... 3 Task 2 Protecting workbook... 3 Task 3 Unprotect workbook and sheet... 3 Task 4 Protecting cells... 4 Protecting

More information

Prepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order.

Prepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order. Chapter 2 2.1 Descriptive Statistics A stem-and-leaf graph, also called a stemplot, allows for a nice overview of quantitative data without losing information on individual observations. It can be a good

More information

Descriptive Statistics: Box Plot

Descriptive Statistics: Box Plot Connexions module: m16296 1 Descriptive Statistics: Box Plot Susan Dean Barbara Illowsky, Ph.D. This work is produced by The Connexions Project and licensed under the Creative Commons Attribution License

More information

SSC-Stat Tutorial. by Roger Stern, Sandro Leidi and Colin Grayer. Contents

SSC-Stat Tutorial. by Roger Stern, Sandro Leidi and Colin Grayer. Contents by Roger Stern, Sandro Leidi and Colin Grayer Contents 1. Introduction 1 1.1. Data types 1 1.2. Sections of this guide 1 2. The data area 2 3. Simple descriptive methods 3 3.1. Analysing yields 4 3.2.

More information

D&B Market Insight Release Notes. November, 2015

D&B Market Insight Release Notes. November, 2015 D&B Market Insight Release Notes November, 2015 Table of Contents Table of Contents... 2 Charting Tool: Add multiple measures to charts... 3 Charting Tool: Additional enhancements to charts... 6 Data Grids:

More information

Generally, one uses bin values based on one s needs. But for those with statically sophistication may wish use Scott s formula for the bin width:

Generally, one uses bin values based on one s needs. But for those with statically sophistication may wish use Scott s formula for the bin width: Excel 2016: New charts Microsoft add a number of new chart type when Office 2016 was released. We shall look briefly at three of these: histogram, box-and-whisker, and waterfall. The quickest way to begin

More information

Page 1. Graphical and Numerical Statistics

Page 1. Graphical and Numerical Statistics TOPIC: Description Statistics In this tutorial, we show how to use MINITAB to produce descriptive statistics, both graphical and numerical, for an existing MINITAB dataset. The example data come from Exercise

More information

#NULL! Appears most often when you insert a space (where you should have comma) to separate cell references used as arguments for functions.

#NULL! Appears most often when you insert a space (where you should have comma) to separate cell references used as arguments for functions. Appendix B Excel Errors Under certain circumstances, even the best formulas can appear to have freaked out once you get them in your worksheet. You can tell right away that a formula s gone haywire because

More information

This report is based on sampled data. Jun 1 Jul 6 Aug 10 Sep 14 Oct 19 Nov 23 Dec 28 Feb 1 Mar 8 Apr 12 May 17 Ju

This report is based on sampled data. Jun 1 Jul 6 Aug 10 Sep 14 Oct 19 Nov 23 Dec 28 Feb 1 Mar 8 Apr 12 May 17 Ju 0 - Total Traffic Content View Query This report is based on sampled data. Jun 1, 2009 - Jun 25, 2010 Comparing to: Site 300 Unique Pageviews 300 150 150 0 0 Jun 1 Jul 6 Aug 10 Sep 14 Oct 19 Nov 23 Dec

More information