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A test is made of H 0 : p= 0.15 versus u > 0.15 is performed using a=0.05 significance level. The value of the test

A test is made of H 0 : p= 0.15 versus u > 0.15 is performed using a=0.05 significance level. The value of the test statistic is z = 2.74 and it is concluded that we fail to reject H0.

If the true value of p is 0.21, what type of error occurred?

There is not enough information to make a conclusion.

No error occurred. The decision was correct.

Type II Error

Type I Error

An expensive restaurant claims that the average wait time for dinner is approximately 60 minutes. We suspect that this claim is inflated to make the restaurant appear more exclusive and successful. A random sample of 40 customers yielded a sample average waiting time of 50 minutes with a standard deviation of 10 minutes. Calculate the test statistic.

-6.32

-0.15

-14.14

-1.25

Which of the following examples would be considered categorical data?

Wait time at the local DMV to receive a new driver's license.

A list of career choices which yield the highest salary.

Amount of weight lost after taking a weight loss drug.

Number of hours a student studies for an exam.

Identify which of the following would be considered inferential statistics.

A recent study of 500 cats found that 68% of them were indoor cats.

The mean average rainfall in Manchester last year was 11.4 inches.

The median salary of a full-time worker is $33,706.

A prediction has been made that the chance a person will die from a motorcycle accident a 0.13%.

Which of the following is representative of a population?

The number of jobs every fifth college student in a statistics course.

The opinion on free college tuition of all governors of the 50 states in America.

The average annual percentage rate of 39 credit cards.

The opinions of managed health care of thirty-eight nurses working in the San Francisco area.

Which of the following examples would be continuous data?

How many people are late boarding an airplane?

The amount of diapers a newborn uses in a day.

The number of television shows on Netflix.

The volume of liquid in a pop can.

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