1. Exploring Marketing Research William G. Zikmund Chapter 20: Basic Data Analysis

2. Descriptive Analysis The transformation of raw data into a form that will make them easy to understand and interpret; rearranging, ordering, and manipulating data to generate descriptive information

3. Type of Measurement Nominal Two categories More than two categories Frequency table Proportion (percentage) Frequency table Category proportions (percentages) Mode Type of descriptive analysis

4. Type of Measurement Type of descriptive analysis Ordinal Rank order Median

5. Type of Measurement Type of descriptive analysis Interval Arithmetic mean

6. Type of Measurement Type of descriptive analysis Ratio Index numbers Geometric mean Harmonic mean

7. Tabulation Tabulation - Orderly arrangement of data in a table or other summary format Frequency table Percentages

8. Frequency Table The arrangement of statistical data in a row- and-column format that exhibits the count of responses or observations for each category assigned to a variable

9. Measure of CentralMeasure of Type of ScaleTendencyDispersion NominalModeNone OrdinalMedianPercentile Interval or ratioMeanStandard deviation Central Tendency

10. Cross-Tabulation A technique for organizing data by groups, categories, or classes, thus facilitating comparisons; a joint frequency distribution of observations on two or more sets of variables Contingency table- The results of a cross- tabulation of two variables, such as survey questions

11. Cross-Tabulation Analyze data by groups or categories Compare differences Contingency table Percentage cross-tabulations

12. Base The number of respondents or observations (in a row or column) used as a basis for computing percentages

13. Elaboration and Refinement Moderator variable –A third variable that, when introduced into an analysis, alters or has a contingent effect on the relationship between an independent variable and a dependent variable. –Spurious relationship An apparent relationship between two variables that is not authentic.

14. Tworatingscales 4 quadrants two-dimensionaltable Importance-PerformanceAnalysis) Quadrant Analysis

15. Data Transformation Data conversion Changing the original form of the data to a new format More appropriate data analysis New variables

16. Data Transformation Summative Score = VAR1 + VAR2 + VAR 3

17. Collapsing a Five-Point Scale Strongly Agree Agree Neither Agree nor Disagree Disagree Strongly Disagree Strongly Agree/Agree Neither Agree nor Disagree Disagree/Strongly Disagree

18. Index Numbers Score or observation recalibrated to indicate how it relates to a base number CPI - Consumer Price Index

19. Calculating Rank Order Ordinal data Brand preferences

20. Tables Bannerheads for columns Studheads for rows

21. Charts and Graphs Pie charts Line graphs Bar charts –Vertical –Horizontal

23. Line Graph

24. Bar Graph

25. WebSurveyor Bar Chart

26. Computer Programs SPSS SAS SYSTAT Microsoft Excel WebSurveyor

27. Microsoft Excel -Data Analysis

28. The Paste Function Provides Numerous Statistical Operations

30. Computer Programs Box and whisker plots Interquartile range - midspread Outlier

31. Interpretation The process of making pertinent inferences and drawing conclusions concerning the meaning and implications of a research investigation