Question

In: Statistics and Probability

A dept. Store marketing study claims 40% of customers prefer Calvin Klein, 30% prefer Tommy Hilfiger,...

A dept. Store marketing study claims 40% of customers prefer Calvin Klein, 30% prefer Tommy Hilfiger, 20% prefer Ralph Lauren and 10% prefer other. A survey of 500 customers finds the following: 175 prefer Calvin Klein, 150 prefer Tommy Hilfiger, 150 Prefer Ralph Lauren and 25 prefer other.

Test the goodness of-fit of the marketing study's model using alpha =.05

Solutions

Expert Solution

A survey of 500 customers finds the following: 175 prefer Calvin Klein, 150 prefer Tommy Hilfiger, 150 Prefer Ralph Lauren and 25 prefer other.

Store marketing study claims 40% of customers prefer Calvin Klein, 30% prefer Tommy Hilfiger, 20% prefer Ralph Lauren and 10% prefer other.

I find expected customer number of calvin klein = 500 *40 /100 = 200 .

similarly I find for all the other brands as summarized below-

Brand Observed frequency Expected frequency
Calvin Klein 175 200
Hilfiger 150 150
Ralph Lauren 150 100
other 25 50

I shall test for 2 ( Chi Square ) goodness of fit.

2 = ( Observed - Expected )2 / Expected

= (175 -200)^2 / 200 + ( 150 - 150)^2 / 150 + ( 150-100)^2 / 100+ ( 25-50 ) ^ 2 / 50 = 40.625

2 crit = 2 =0.05 , 3  = 7.815 [ since there are 4 groups so 3 degrees of freedom]

2 crit   < 2  so reject null hypothesis.

Data doesn't fit well with the study claim.

If you find my answer useful please upvote me. Thank you.


Related Solutions

A restaurant's marketing department claims that 45% of customers prefer hamburgers, 41% of the customers prefer...
A restaurant's marketing department claims that 45% of customers prefer hamburgers, 41% of the customers prefer chicken sandwiches, and 14% of the customers prefer fish sandwiches. To test this claim, a random group of customers at a fast food chain were asked whether they preferred hamburgers, chicken sandwiches, or fish sandwiches, with the results shown below. Sandwich : Hamburgers Chicken Fish No. of customers: 40 16 8 Based on this sample data, is there evidence to reject the restaurant's claim...
A store owner claims the average age of her customers is 30 years. She took a...
A store owner claims the average age of her customers is 30 years. She took a survey of 33 randomly selected customers and found the average age to be 32.8 years with a standard error of 1.821. Carry out a hypothesis test to determine if her claim is valid. (a) Which hypotheses should be tested? H0: p = 30 vs. Ha: p ≠ 30 H0: μ = 30 vs. Ha: μ ≠ 30     H0: μ = 30 vs. Ha: μ...
40% of all customers who enter a store will make a purchase. Suppose that 6 customers...
40% of all customers who enter a store will make a purchase. Suppose that 6 customers enter the store and that these customers make independent purchase decisions. Round answers to four decimal places. (1) Calculate the probability that exactly five customers make a purchase. Probability                (2) Calculate the probability that at least three customers make a purchase. Probability              (3) Calculate the probability that two or fewer customers make a purchase. Probability              (4) Calculate the probability that at...
A university bookstore claims that 40% of its customers are satisfied with the service and prices....
A university bookstore claims that 40% of its customers are satisfied with the service and prices. If this claim is true, what is the probability that in a random sample of 500 customers less than 37% are satisfied? Select one: a. 0.0853 b. 0.0823 c. 0.9147 d. 0.9177 Which of the following is TRUE? Select one: a. Mean is always equal to median. b. Population variance is always equal to sample variance. c. A data group with larger standard deviation...
In a store, 40% of customers make a single purchase. This activity requires a time that...
In a store, 40% of customers make a single purchase. This activity requires a time that has an exponential distribution with mean 2.0 minutes. The other 60% of customers ask for information before making a purchase. This process requires time and has a symmetric triangular distribution with between 1 and 5 minutes (in addition to the purchase time). Use Bernoulli, exponential and triangular random variates to generate a sample of shopping times for 200 customers. Plot the histogram of these...
In a particular retail clothing store, approximately 30% of potential customers who walk into the store...
In a particular retail clothing store, approximately 30% of potential customers who walk into the store make a purchase. In a random sample of 25 customers that walked into the store, a. what is the probability that exactly 10 of the customers make purchases? Round to 3 significant digits. b. what is the probability that at least 2 of the customers make purchases? Round to 3 significant digits. c. how many of the customers are expected to make purchases? Round...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 56, 32, 41, 49, 56, 80, 42, 29, 32, and 70. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 56, 32, 41, 49, 56, 80, 42, 29, 32, and 70. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 52, 32, 41, 49, 56, 80, 46, 29, 32, and 71. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
The marketing director of a large department store wants to estimate the average number of customers...
The marketing director of a large department store wants to estimate the average number of customers who enter the store every five minutes. She randomly selects five-minute intervals and counts the number of arrivals at the store. She obtains the figures 51, 32, 41, 47, 56, 80, 49, 29, 32, and 80. The analyst assumes the number of arrivals is normally distributed. Using these data, the analyst computes a 95% confidence interval to estimate the mean value for all five-minute...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT