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7/27/03Copyright Ed Lipinski and Mesa Community College, 2003- 2009. All rights reserved. 1 Research Methods Summer 2009 Describing Data.

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Presentation on theme: "7/27/03Copyright Ed Lipinski and Mesa Community College, 2003- 2009. All rights reserved. 1 Research Methods Summer 2009 Describing Data."— Presentation transcript:

1 7/27/03Copyright Ed Lipinski and Mesa Community College, 2003- 2009. All rights reserved. 1 Research Methods Summer 2009 Describing Data

2 2 Agenda General Housekeeping Assignments Lesson Objective Ed’s Overview / Discussion Questions.

3 3 Assignments Read Chapters 14 in the Text Using Inferential Statistics.

4 4 Objective “... to review descriptive statistics”

5 5 Ed’s Overview I.Exploratory Data Analysis II.Organizing Data III. Graphing Data IV.The Frequency Distribution V.Descriptive Statistics VI.Measures of Association.

6 6 I. Exploratory Data Analysis A. Searching For Patterns In Your Data B. Resist Temptation C. Spot Defects.

7 7 II. Organizing Data A. Data Management Done First B. Using a Data Sheet (see B &A) C. Computer Entry Prep Dependent On Package Entering Data Grouped Data Individual Data.

8 8 III. Graphing Data A. Data In a Two-Dimensional Space B. Bar Graphs – Good For Categorical C. Line Graphs – Multifactor Experiments D. Scatterplots – Correlations E. Pie Charts – Proportions or Percents F. Importance of Graphing Showing Relationships Clearly Choosing Appropriate Statistics.

9 9 IV. The Frequency Distribution A. Allows You To Sort Data B. Displaying Information The Histogram The Stemplot C. Examining Your Distribution Skewed Normal Outliers.

10 10 V. Descriptive Statistics A. Measures of Center The Mode The Median The Mean B. Choosing a Measure of Center Two Factors Scale of Measurement Shape of the Distribution.

11 11 V. Descriptive Statistics C. Measures of Spread The Range Standard Deviation D. Choosing a Measure of Spread Shape of the Distribution.

12 12 VI. Measures of Association A. Pearson Correlation B. Point-Biserial Correlation C. Spearman Rank Order Correlation D. Linear Regression and Prediction.  = =

13 13 Recap I.Exploratory Data Analysis II.Organizing Data III. Graphing Data IV.The Frequency Distribution V.Descriptive Statistics VI.Measures of Association.

14 14 Describing Data Questions


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