1 1 Slide © 2005 Thomson/South-Western Introduction to Statistics Chapter 2 Descriptive Statistics.

Slides:



Advertisements
Similar presentations
1 Probabilistic and Statistical Techniques Lecture 3 Dr. Nader Okasha.
Advertisements

Graphical Presentation of Data. Qualitative Data.
1 1 Slide © University of Minnesota-Duluth, Summer 2009-Econ-2030(Dr. Tadesse) Chapter 2 Descriptive Statistics.
1/54 Statistics Descriptive Statistics— Tables and Graphics.
QMS 6351 Statistics and Research Methods Chapter 2 Descriptive Statistics: Tabular and Graphical Methods Prof. Vera Adamchik.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
Descriptive Statistics Summarizing qualitative data Summarizing quantitative data.
QBM117 Business Statistics Descriptive Statistics Graphical Presentation of Qualitative Data.
1 1 Slide © 2006 Thomson/South-Western Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Part A n Summarizing Qualitative Data n Summarizing.
1 1 Slide © 2009 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Chapter Two Organizing and Summarizing Data 2.1 Organizing Qualitative Data.
© 2006 by Thomson Learning, a division of Thomson Asia Pte Ltd.. 1 Slide Slide Slides Prepared by Juei-Chao Chen Fu Jen Catholic University Slides Prepared.
1 1 Slide 統計學 Fall 2003 授課教師:統計系余清祥 日期: 2003 年 9 月 23 日 第二週:敘述性統計量.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
© 2016 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Descriptive Statistics
Descriptive Statistics: Tabular and Graphical Methods
Census A survey to collect data on the entire population.   Data The facts and figures collected, analyzed, and summarized for presentation and.
1 1 Slide © 2006 Thomson/South-Western Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Part B n Exploratory Data Analysis n Crosstabulations.
DATA FROM A SAMPLE OF 25 STUDENTS ABBAB0 00BABB BB0A0 A000AB ABA0BA.
1 1 Slide Data and Data Sets n Data are the facts and figures collected, analyzed, and summarized for presentation and interpretation. and summarized.
1 1 Slide © 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole.
Business Statistics **** Management Information Systems Business Statistics Third level First mid-term: Instructor: Dr. ZRELLI Houyem Majmaah.
1 1 Slide Tuesday August 28 Class 2 Text problems for August 30: Chapter 2 - 2,6 & 10 Aplia Graded Assignment: “Introduction” due September 4, 9:00 am.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
Descriptive Statistics: Tabular and Graphical Presentations n Summarizing Qualitative Data n Summarizing Quantitative Data.
1 1 Slide STATISTICS FOR BUSINESS AND ECONOMICS Seventh Edition AndersonSweeneyWilliams Slides Prepared by John Loucks © 1999 ITP/South-Western College.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 2 Section 1 – Slide 1 of 27 Chapter 2 Section 1 Organizing Qualitative Data.
1 1 Slide © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole.
In this chapter, we will look at some charts and graphs used to summarize categorical data.
BIA 2610 – Statistical Methods Chapter 2 – Descriptive Statistics: Tabular and Graphical Displays.
1 1 Slide © 2005 Thomson/South-Western Introduction to Statistics Chapter 2 Descriptive Statistics.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 2-2 Frequency Distributions.
Chapter 2 – Descriptive Statistics
When data is collected from a survey or designed experiment, they must be organized into a manageable form. Data that is not organized is referred to as.
Business Statistics Histogram  A histogram is constructed by placing the class boundaries or limits on the Horizontal axis and the class frequencies on.
Chapter 2, Part A Descriptive Statistics: Tabular and Graphical Presentations n Summarizing Categorical Data n Summarizing Quantitative Data Categorical.
Section 2.1 Organizing Qualitative Data. Definitions Frequency Distribution = lists each category of data and the number of times it occurs for each category.
1 1 Slide © 2005 Thomson/South-Western OPIM 303-Lecture #1 Jose M. Cruz Assistant Professor.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
1 1 Slide Slides by JOHN LOUCKS St. Edward’s University.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Organizing and Summarizing Data 2.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
ISTANBUL STOCK EXCHANGE (BIST) FELL 6 POINTS IN AVERAGE TODAY THE UNITED STATES DOLLAR (USD) APPRECIATED BY 4 PERCENT LAST WEEK AGAINST TURKISH LIRA (TRL).
Chapter 2 Summarizing and Graphing Data  Frequency Distributions  Histograms  Statistical Graphics such as stemplots, dotplots, boxplots, etc.  Boxplots.
Fundamentals of Business Statistics chapter2 descriptive statistics: tabular and graphical presentations.
Descriptive Statistics
Descriptive Statistics: Tabular and Graphical Methods
Organizing Qualitative Data
Summarizing Categorical Data
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2.
Chapter 2 Descriptive Statistics
3 2 Chapter Organizing and Summarizing Data
Honors Statistics Chapter 3 Part 1
Chapter 2 Descriptive Statistics: Tabular and Graphical Methods
Chapter Two Organizing and Summarizing Data
Displaying and Describing
LESSON 2: FREQUENCY DISTRIBUTION
Lecture 3 part-2: Organization and Summarization of Data
THE STAGES FOR STATISTICAL THINKING ARE:
Organizing Qualitative Data
THE STAGES FOR STATISTICAL THINKING ARE:
Organizing Qualitative Data
Design by : Ms Sheema Aftab
Fu Jen Catholic University
Presentation transcript:

1 1 Slide © 2005 Thomson/South-Western Introduction to Statistics Chapter 2 Descriptive Statistics

2 2 Slide © 2005 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University Slides Prepared by JOHN S. LOUCKS St. Edward’s University

3 3 Slide © 2005 Thomson/South-Western Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations Part A n Summarizing Qualitative Data n Summarizing Quantitative Data

4 4 Slide © 2005 Thomson/South-Western Summarizing Qualitative Data n Frequency Distribution n Relative Frequency Distribution n Percent Frequency Distribution n Bar Graph n Pie Chart

5 5 Slide © 2005 Thomson/South-Western A frequency distribution is a tabular summary of A frequency distribution is a tabular summary of data showing the frequency (or number) of items data showing the frequency (or number) of items in each of several non-overlapping classes. in each of several non-overlapping classes. A frequency distribution is a tabular summary of A frequency distribution is a tabular summary of data showing the frequency (or number) of items data showing the frequency (or number) of items in each of several non-overlapping classes. in each of several non-overlapping classes. The objective is to provide insights about the data The objective is to provide insights about the data that cannot be quickly obtained by looking only at that cannot be quickly obtained by looking only at the original data. the original data. The objective is to provide insights about the data The objective is to provide insights about the data that cannot be quickly obtained by looking only at that cannot be quickly obtained by looking only at the original data. the original data. Frequency Distribution

6 6 Slide © 2005 Thomson/South-Western Example: Marada Inn Guests staying at Marada Inn were asked to rate the quality of their accommodations as being excellent, above average, average, below average, or poor. The ratings provided by a sample of 20 guests are: Below Average Below Average Above Average Above Average Average Average Above Average Above Average Average Average Above Average Above Average Average Average Above Average Above Average Below Average Below Average Poor Poor Excellent Excellent Above Average Above Average Average Average Above Average Above Average Below Average Below Average Poor Poor Above Average Above Average Average Average

7 7 Slide © 2005 Thomson/South-Western Frequency Distribution Poor Below Average Average Above Average Excellent Total 20 RatingFrequency

8 8 Slide © 2005 Thomson/South-Western The relative frequency of a class is the fraction The relative frequency of a class is the fraction or proportion of the total number of data items belonging to the class. belonging to the class. The relative frequency of a class is the fraction The relative frequency of a class is the fraction or proportion of the total number of data items belonging to the class. belonging to the class. A relative frequency distribution is a tabular A relative frequency distribution is a tabular summary of a set of data showing the relative summary of a set of data showing the relative frequency for each class. frequency for each class. A relative frequency distribution is a tabular A relative frequency distribution is a tabular summary of a set of data showing the relative summary of a set of data showing the relative frequency for each class. frequency for each class. Relative Frequency Distribution

9 9 Slide © 2005 Thomson/South-Western Percent Frequency Distribution The percent frequency of a class is the relative The percent frequency of a class is the relative frequency multiplied by 100. frequency multiplied by 100. The percent frequency of a class is the relative The percent frequency of a class is the relative frequency multiplied by 100. frequency multiplied by 100. A percent frequency distribution is a tabular A percent frequency distribution is a tabular summary of a set of data showing the percent summary of a set of data showing the percent frequency for each class. frequency for each class. A percent frequency distribution is a tabular A percent frequency distribution is a tabular summary of a set of data showing the percent summary of a set of data showing the percent frequency for each class. frequency for each class.

10 Slide © 2005 Thomson/South-Western Relative Frequency and Percent Frequency Distributions Poor Below Average Average Above Average Excellent Total Relative RelativeFrequency Percent PercentFrequency Rating.10(100) = 10 1/20 =.05 Frequency

11 Slide © 2005 Thomson/South-Western Bar Graph A bar graph is a graphical device for depicting A bar graph is a graphical device for depicting qualitative data. qualitative data. On one axis (usually the horizontal axis), we specify On one axis (usually the horizontal axis), we specify the labels that are used for each of the classes. the labels that are used for each of the classes. A frequency, relative frequency, or percent frequency A frequency, relative frequency, or percent frequency scale can be used for the other axis (usually the scale can be used for the other axis (usually the vertical axis). vertical axis). Using a bar of fixed width drawn above each class Using a bar of fixed width drawn above each class label, we extend the height appropriately. label, we extend the height appropriately. The bars are separated to emphasize the fact that each The bars are separated to emphasize the fact that each class is a separate category. class is a separate category.

12 Slide © 2005 Thomson/South-Western Poor Below Average Below Average Above Average Above Average Excellent Frequency Rating Bar Graph Marada Inn Quality Ratings

13 Slide © 2005 Thomson/South-Western Pie Chart The pie chart is a commonly used graphical device The pie chart is a commonly used graphical device for presenting relative frequency distributions for for presenting relative frequency distributions for qualitative data. qualitative data. n First draw a circle; then use the relative frequencies to subdivide the circle frequencies to subdivide the circle into sectors that correspond to the into sectors that correspond to the relative frequency for each class. relative frequency for each class. n Since there are 360 degrees in a circle, a class with a relative frequency of.25 would a class with a relative frequency of.25 would consume.25(360) = 90 degrees of the circle. consume.25(360) = 90 degrees of the circle.

14 Slide © 2005 Thomson/South-Western Below Average 15% Below Average 15% Average 25% Average 25% Above Average 45% Above Average 45% Poor 10% Poor 10% Excellent 5% Excellent 5% Marada InnQuality Ratings Marada Inn Quality Ratings Pie Chart

15 Slide © 2005 Thomson/South-Western n Insights Gained from the Preceding Pie Chart Example: Marada Inn One-half of the customers surveyed gave Marada One-half of the customers surveyed gave Marada a quality rating of “above average” or “excellent” a quality rating of “above average” or “excellent” (looking at the left side of the pie). This might (looking at the left side of the pie). This might please the manager. please the manager. For each customer who gave an “excellent” rating, For each customer who gave an “excellent” rating, there were two customers who gave a “poor” there were two customers who gave a “poor” rating (looking at the top of the pie). This should rating (looking at the top of the pie). This should displease the manager. displease the manager.

16 Slide © 2005 Thomson/South-Western In Class Group Exercise NameFrequency Brown7 Davis6 Johnson10 Jones7 Smith12 Williams8 50 The Following are the voices gained by each representative of one class in a school

17 Slide © 2005 Thomson/South-Western 5 a NameFrequency Relative Frequency Percent Frequency Brown7.1414% Davis6.1212% Johnson % Jones7.1414% Smith % Williams8.1616% %

18 Slide © 2005 Thomson/South-Western 5 b

19 Slide © 2005 Thomson/South-Western 5c %Degrees Brown Davis Johnson Jones Smith Williams

20 Slide © 2005 Thomson/South-Western 5 d Most common: Smith, Johnson and Williams