Question

The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.†...

The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.† One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for a local newspaper thought that it would be of interest to her readers to conduct a similar study for restaurants located in her city. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled.

Italian Seafood Steakhouse
$12 $17 $23
12 18 19
15 16 24
18 25 24
18 23 20
19 15 22
16 19 26
26 19 34

Use α = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants.

State the null and alternative hypotheses.

H0: μItalianμSeafoodμSteakhouse
Ha: μItalian = μSeafood = μSteakhouse

H0: μItalian = μSeafood = μSteakhouse
Ha: μItalianμSeafoodμSteakhouse  

H0: Not all the population means are equal.
Ha: μItalian = μSeafood = μSteakhouse

H0: μItalian = μSeafood = μSteakhouse
Ha: Not all the population means are equal.

H0: At least two of the population means are equal.
Ha: At least two of the population means are different.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

What is your conclusion?

Do not reject H0. There is sufficient evidence to conclude that the mean meal prices are not all the same for the three types of restaurants.

Reject H0. There is not sufficient evidence to conclude that the mean meal prices are not all the same for the three types of restaurants.   

Do not reject H0. There is not sufficient evidence to conclude that the mean meal prices are not all the same for the three types of restaurants.

Reject H0. There is sufficient evidence to conclude that the mean meal prices are not all the same for the three types of restaurants.

Homework Answers

Answer #1

(1) The null and alternative hypotheses:

H0: μItalian = μSeafood = μSteakhouse
Ha: Not all the population means are equal

(2) The value of the test statistic = 5.84

(3) p-value = 0.0096

(4) Conclusion: Reject H0. There is sufficient evidence to conclude that the mean meal prices are not all the same for the three types of restaurants.

ANOVA Test Summary:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains...
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website, February 11, 2009). Assume the following data are representative of the results reported. The variable type indicates whether the restaurant is an Italian restaurant or a seafood/steakhouse. Price indicates the average amount paid per person for dinner and drinks, minus the tip. Score reflects diners’ overall satisfaction, with higher values indicating greater overall satisfaction. A score of 80 can be interpreted...
The Chart Listed Is The Only Info You Need (Anderson et al. 2015) A sample of...
The Chart Listed Is The Only Info You Need (Anderson et al. 2015) A sample of 8 seafood restaurants, 8 Italian restaurants and 8 Steakhouses is selected. The meal price (the average amount paid per person for dinner and drinks, minus the tip) is recorded for each restaurant. The data is provided in the spreadsheet "GrandStand.xlsx", which is available in the Week6 folder. Use level of significance 0.05 to test whether there is a significant difference among the mean meal...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 6 5 3 18 16 14 4 20 18 18 5 8 7 8 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: Not all the population means are equal. Ha: μA = μB = μC H0: μA =...
You may need to use the appropriate technology to answer this question. Consider the experimental results...
You may need to use the appropriate technology to answer this question. Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 7 5 3 18 15 14 4 20 18 18 5 8 7 8 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: μA ≠ μB ≠...
A reporter with the Saint Pete Times is working on a story about the main factors...
A reporter with the Saint Pete Times is working on a story about the main factors making restaurants in the St. Pete area different from each other. The variable he is considering is the average meal price per person. The reporter selects a sample of 4 restaurants serving Italian food, Seafood and Steaks. The reporter believes that average price meal per person in the St Pete area is about the same independently of the type of restaurant. The table below...
In a completely randomized experimental design, three brands of paper towels were tested for their ability...
In a completely randomized experimental design, three brands of paper towels were tested for their ability to absorb water. Equal-size towels were used, with four sections of towels tested per brand. The absorbency rating data follow. Brand x y z 91 100 84 99 95 88 89 93 90 85 104 74 At a 0.05 level of significance, does there appear to be a difference in the ability of the brands to absorb water? State the null and alternative hypotheses....
In a completely randomized experimental design, three brands of paper towels were tested for their ability...
In a completely randomized experimental design, three brands of paper towels were tested for their ability to absorb water. Equal-size towels were used, with four sections of towels tested per brand. The absorbency rating data follow. Brand x y z 90 99 83 100 97 87 87 93 90 95 99 72 At a 0.05 level of significance, does there appear to be a difference in the ability of the brands to absorb water? State the null and alternative hypotheses....
To test whether the mean time needed to mix a batch of material is the same...
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, a chemical company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 19 29 21 25 27 19 24 32 23 28 28 25 (a) Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use α =...
In an experiment designed to test the output levels of three different treatments, the following results...
In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST = 320, SSTR = 130, nT = 19. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total Test for any significant difference between the mean output levels of the three treatments....
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for...
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of...