Question

1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it.

True

False

2. The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis.

True

False

6. The power curve provides the probability of

Correctly accepting the null hypothesis

Incorrectly accepting the null hypothesis

Correctly rejecting the alternative hypothesis

Correctly rejecting the null hypothesis

7. Suppose that
                 H_o: μ ≤ 0.01
                 H_a: μ > 0.01
The value 0.01 is the maximum safe level of some naturally occurring lethal pollutant in drinking water for human consumption. You need to decide if you will use water coming from a specific source for one of the beverages your company produces, based on sample measures of this pollutant taken in random different locations and times at the source of water. In this case you would want to

Maximize the power of the test

Maximize β

Minimize μ

Maximize the significance, α

Maximize 1 - α

9. In hypothesis testing,

The smaller the Type I error, the smaller the Type II error will be

The smaller the Type I error, the larger the Type II error will be

Type II error will not be effected by Type 1 error

The sum of Type 1 and Type II errors must equal to 1

13. The level of significance in hypothesis testing is the probability of

Accepting a true null hypothesis

Accepting a false null hypothesis

Rejecting a true null hypothesis

None of these alternatives is correct

Answer 1

1.

In testing hypotheses, the researcher initially assumes that the null hypothesis is true and uses the sample data to reject or accept it.

Answer: False

2.

The first step in testing a hypothesis is to define a null hypothesis and a alternative hypothesis according to research question.

Answer: False

6:

Power of a test is the probability of rejecting the false null hypothesis.

Answer: The power curve provides the probability of

Correctly rejecting the null hypothesis

7:

Here if researcher incorrectly accept the false null hypothesis then that will be very harmful. That is making type II error is very harmful That is researcher wants to minimize beta.

Since power = 1 - beta

So correct option is

Maximize the power of the test

9. In hypothesis testing,

The smaller the Type I error, the larger the Type II error will be

13. The level of significance in hypothesis testing is the probability of

Rejecting a true null hypothesis