Question

You are the manager of a restaurant for a fast-food franchise. Last month, the mean waiting time at the drive-through window for branches in your geographical region, as measured from the time a customer places an order until the time the customer receives the order, was 3.9 minutes. You select a random sample of 81 orders. The sample mean waiting time is 4.12 minutes, with a sample standard deviation of 0.9 minute. Complete parts (a) and (b) below.

A. At the 0.05 level of significance, is there evidence that the population mean waiting time is different from 3.9 minutes? State the null and alternative hypotheses.

H0: μ__

H1: μ___

(Type integers or decimals.)

Determine the test statistic.

The test statistic is ____? (Round to two decimal places as needed.)

Find the p-value.

p-value = ____? (Round to three decimal places as needed.)

State the conclusion.

**(Reject, Do
not reject)** H0. There is **(sufficient,
insufficient)** evidence to conclude that the population
mean waiting time is different from 3.7 minutes.

b. Because the sample size is 81, do you need to be concerned about the shape of the population distribution when conducting the t test in (a)? Explain. Choose the correct answer below.

A. Yes, because n is equal to 81, the sampling distribution of the t test cannot be determined. In general, the t test requires a larger sample size.

B. No, because n is equal to 81, the sampling distribution of the t test is approximately normal. In general, the t test is appropriate for this sample size unless the population is skewed.

C. No, because n is equal to 81, the sampling distribution of the t test is approximately normal. In general, the t test is appropriate for a large sample size.

D. Yes, because n is equal to 81, the sampling distribution of the t test cannot be determined. In general, the t test is only appropriate for a normally distributed sample.

Answer #1

You are the manager of a restaurant for a fast-food franchise.
Last month, the mean waiting time at the drive-through window for
branches in your geographical region, as measured from the time a
customer places an order until the time the customer receives the
order, was 3.9 minutes. You select a random sample of 64 orders.
The sample mean waiting time is 3.67 minutes, with a sample
standard deviation of 0.8 minute. Complete parts (a) and (b)
below.
a. At...

You are the manager of a restaurant for a? fast-food franchise.
Last? month, the mean waiting time at the? drive-through window for
branches in your geographical? region, as measured from the time a
customer places an order until the time the customer receives the?
order, was 3.8 minutes. You select a random sample of 81 orders.
The sample mean waiting time is 3.55 ?minutes, with a sample
standard deviation of 0.9 minute. Complete parts? (a) and? (b)
below. a. At...

You are the manager of a restaurant for a fast-food franchise.
Last month, the mean waiting time at the drive-through window for
branches in your geographical region, as measured from the time a
customer places an order until the time the customer receives the
order, was 3.7 minutes. You select a random sample of 81 orders.
The sample mean waiting time is 3.41 minutes, with a sample
standard deviation of 0.9 minute. At the 0.01 level of
significance, is there...

Could you explain to how to find these answers in excel as well
please? I am having a terrible time trying to get it to work
correctly for me.
You are the manager of a restaurant for a fast-food franchise.
Last month, the mean waiting time at the drive-through window for
branches in your geographical region, as measured from the time a
customer places an order until the time the customer receives the
order, was 3.7 minutes. You select a...

28. You are the manager of a restaurant for a fast-food
franchise. Last month, the mean waiting time at the drive-through
window for branches in your geographical region, as measured from
the time a customer places an order until the time the customer
receives the order, was 3.8 minutes. You select a random sample of
81 orders. The sample mean waiting time is 3.99 minutes, with a
sample standard deviation of 0.9 minute.
At the 0.10 level of significance, is...

You are the manager of a restaurant for a fast-food franchise.
Last month, the mean waiting time at the drive-through window for
branches in your geographical region, as measured from the time a
customer places an order until the time the customer receives the
order, was
3.7 minutes. You select a random sample of 64 orders. The sample
mean waiting time is 3.41 minutes, with a sample standard
deviation of 0.8 minute.
Find the p-value.
p-value= ( )
(Round to...

28. You are the manager of a restaurant for a fast-food
franchise. Last month, the mean waiting time at the drive-through
window for branches in your geographical region, as measured from
the time a customer places an order until the time the customer
receives the order, was 3.7 minutes. You select a random sample of
81 orders. The sample mean waiting time is 3.86 minutes, with a
sample standard deviation of 0.9 minute. Complete parts (a) and
(b) below.
a....

The waiting time until a customer is served at a fast food
restaurant during lunch hours has a skewed distribution with a mean
of 2.4 minutes and a standard deviation of 0.4 minute. Suppose that
a random sample of 44 waiting times will be taken. Compute the
probability that the mean waiting time for the sample will be
longer than 2.5 minutes. Answer: (Round to 4 decimal places.)

Suppose the waiting time at a certain checkout counter is
bimodal. With probability 0.95, the waiting time follows an
exponential distribution with a mean waiting time of five minutes.
With probability 0.05, the waiting time equals 30 minutes.
a) Compute the mean waiting time at the checkout counter.
b) Compute the variance of the waiting time at the checkout
counter.
c) Compute the probability that an individual customer waits
longer than 5 1/2 minutes at the checkout counter.
d) Using...

Suppose the waiting time at a certain checkout counter
is bimodal. With probability 0.95, the waiting time follows an
exponential distribution with a mean waiting time of five minutes.
With probability 0.05, the waiting time equals 30
minutes.
a) Compute the mean waiting time at the checkout
counter.
b) Compute the variance of the waiting time at the
checkout counter.
c) Compute the probability that an individual customer
waits longer than 5 1/2 minutes at the checkout counter.
d) Using...

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