Reference no: EM13924260
1. We can only run ANOVA, when the Independent Variable (IV) is ________ and Dependent Variable (DV) is ____________. Fill up the blanks.
a. Continuous and Continuous
b. Categorical and Continuous
c. Categorical and Categorical
d. Continuous and Categorical
2. ANOVA examines statistically significant group differences, particularly when we have more than two groups to contrast with each other, on the scores for any particular continuous dependent variable. Is this statement?
a. True
b. False
3. What does the F value in the SPSS table for the above One-Way ANOVA, if significant, tells you.
a. There is no difference between groups
b. There is at least one significant difference between the groups
c. All the groups are different
d. None of above
There is no table given above so kindly post them so that I can answer the rest of the questions, thanks
4. What is the mean and number of respondents in the group with "0" restaurant visits in past 2 weeks?
a. 3.32 and 50
b. 3.60 and 20
c. 3.70 and 40
d. 2.50 and 10
5. How do you interpret the results of Post Hoc Tests (Duncan) from the SPSS output table?
a. Group (5-6) is significantly different from the rest
b. Group (3-4) is significantly different from the rest
c. Group (0) is significantly different from the rest
d. Group (1-2) is significantly different from the rest
B. Your next job is to help the researcher identify if there is an association between the respondent's gender and whether one feels "atmosphere is important when deciding to visit a sports restaurant" (Q7 - variable name: "atmoimpt"). Run the analysis and interpret the results for the researcher. (Hint: Run a chi-square analysis. Go to Descriptives and then to Crosstabs. Input "atmoimpt" in rows and "gender" in columns. Click on Statistics and then on Chi-square. In addition you go to cells and select observed, expeted counts and total percentage. Also select "display clustered bar charts" to display the results graphically and notice the differences in the plots for two genders.
6. Chi-Square Test examines the association between two __________ type variables. Fill in the blank.
a. Categorical
b. Continuous
7. If we have the expected values in each cell of the crosstab matrix, the value of Chi-Square will be,
a. 100
b. 0
c. 25
d. 4
8. What is the value of Pearson Ch-Square, from the SPSS tables for the above test?
a. 120
b. .229
c. .231
d. .008
9. Is the value of Pearson Ch-Square, from the SPSS tables for the above test, significant? (Look at the "p"
a. Yes
b. .No
10. What does the result of Pearson Ch-Square test for the above set of variables tell you about the association of gender with importance of atmosphere when visiting a sports restaurant?
a. Associated
b. Not Associated
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