The accompanying table contains a food critic's ratings for food, décor, service, and cost per person for a sample of 50 restaurants located in a city and 50 restaurants located in suburban areas outside the city. you want to study differences in the cost of a meal between restaurants in the city and suburban areas and also want to be able to predict the cost of a meal. completely analyze the data.

test for the difference between the mean cost of a city meal and the mean cost of a suburban meal, using α = 0.05.

choose an appropriate set of hypotheses, where mu 1μ1 is the mean cost of a meal in the city and mu 2μ2 is the mean cost of a meal in the suburbs.

a. h0 : h0: μ1 ≠ μ2 h1 : μ1 = μ2

b. h0 : μ1 = μ2 h1 : μ1 ≠ μ2

c. h0: μ1 > μ2 h1: μ1 = μ2

d. h0: μ1 = μ2 h1 : μ1< μ2

Option B)

Step-by-step explanation:

We are given the following information in the question:

We want to study differences in the cost of a meal between restaurants in the city and suburban areas.

We have to perform a hypothesis test for the difference between the mean cost of a city meal and the mean cost of a suburban meal, using α = 0.05.

First, we design the null and the alternate hypothesis

The null hypothesis states that there is no significant difference mean cost of a city meal and the mean cost of a suburban meal that is they are the same.

The alternative hypothesis states that there is a significant difference mean cost of a city meal and the mean cost of a suburban meal that is they are not the same.

the answer is 3/5

step-by-step explanation:

first divide 24 divided by 8 because that is the least common multiple

then divide 40 by 8

then you will get 3/5.

$9.41

step-by-step explanation: