HW I

ANALYSIS OF MEANS

1. What is the mean for each (not combined)

A) X7,

B) X12,

C) X17, and

D) X22.

Looking at the scale in the questionnaire explain fully what the mean tells us about each of those variables.

For example,

For X50 the mean is 7 which means that on average the respondents Strongly Agree that alcohol should be served at the restaurant (X50).

7 point likert scale

 

1 Strongly Disagree

2 Disagree

3 Somewhat Disagree

4 Undecided

5 Somewhat Agree

6 Agree

7 Strongly Agree

 

2.  Compare and contrast the means of two groups.  Are males OR females less likely to buy a new product? Explain fully your conclusion.  Don't guess.  Support your answer by providing the mean that was computed.     . 3.  Correlation: Explain fully the concept of correlation between variables.  Based on the questionnaire implemented and the SPSS outputs, does the Pearson Correlation reveal that there is a high or low correlation between the level of satisfaction and the likelihood to return to a favorite Mexican restaurant?  What was the Pearson Correlation computed to be?  For example .4, .6, .73, .85, or 1.0?  Don't guess.  Explain fully. . 4.  What does the multiple regression reveal about the ability of fun, size, taste, and service to predict customer satisfaction?  Don't guess.  What are the beta coefficients for each?  Explain fully.