Question

In: Statistics and Probability

You work at Happy Joe's family restaurant and want to see if customer meal satisfaction and...

You work at Happy Joe's family restaurant and want to see if customer meal satisfaction and gender are related to one another. You take a sample of customers and ask them if they were satisfied with their meal and note their gender. To test at the 0.1 level to determine if Satisfaction and Gender are dependent, calculate the chi-square test statistic and p-value.

26 29

27 8

17 13

Numbers in the chart that wouldn't copy over ^

Question 3 options:

1)

11.278, the degrees of freedom is 2, and the p-value is 0.9807.

2)

7.897, the degrees of freedom is 6, and the p-value is 0.2457.

3)

7.897, the degrees of freedom is 2, and the p-value is 0.1000.

4)

None of the other options are fully correct.

5)

7.897, the degrees of freedom is 2, and the p-value is 0.0193.

Solutions

Expert Solution


Related Solutions

Suppose you work in a human resources department and want to see if average job satisfaction...
Suppose you work in a human resources department and want to see if average job satisfaction differs by Industry (Factor A), Level of Work Experience (Factor B), or an interaction of both Industry and Level of Work Experience (AB). You randomly select 3 workers from each of the 9 combinations of industry and work experience and administer a satisfaction survey. Using the results of the ANOVA below, if you want to test for significant interaction effects on job satisfaction, what...
You want to see if three different cafes yield different costs for a lunch meal for...
You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution Cafe 1 35 23 34 34 39 Cafe 2...
You want to see if three different cafes yield different costs for a lunch meal for...
You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps which...
You want to see if three different cafes yield different costs for a lunch meal for...
You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps carefully and draw an ANOVA Table for the solution. Cafe 1 Cafe 2 Cafe 3 35 22 26 23 28 25 34 26 34...
You want to see if students from different types of schools are equally (or unequally) happy....
You want to see if students from different types of schools are equally (or unequally) happy. You randomly sample groups of 10 students from three different sizes of school and have them fill out a standardized scale measuring satisfaction with their education. This scale has a potential range from 0-50 (larger scores = greater satisfaction). Small       Schools Rank Medium Schools Rank Large Schools    Rank 17 5.5 13 2 35 29 21 11 20 9 26 22 14 3 30...
1. You want to see if three different cafes yield different costs for a lunch meal...
1. You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps...
1. You want to see if three different cafes yield different costs for a lunch meal...
1. You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps...
1. You want to see if three different cafes yield different costs for a lunch meal...
1. You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps...
Can a hotel or restaurant increase or maintain customer satisfaction after implementing its
Can a hotel or restaurant increase or maintain customer satisfaction after implementing its first revenue management program? Explain your answer.
You are analyzing a customer satisfaction survey for clients in which (Overall) Satisfaction, Price Satisfaction and...
You are analyzing a customer satisfaction survey for clients in which (Overall) Satisfaction, Price Satisfaction and Reliability Satisfaction (and several other attributes) are measured on a 1-10 scale, 10 being the most favorable value for each variable. You fit a regression model of the form Satisfaction= α+β1Price+β2Reliability+ε and find that in this model the estimated coefficient of Price is positive, but that of Reliability, is negative. You give a preliminary talk for your business clients, in which they declare this...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT