Chapter 9

n = 36 H0: μ ≤ 20 Xbar = 24.6 Ha: μ > 20 σ = 12 Refer to Exhibit 9-1. The p-value is

0.0107

A random sample of 100 people was taken. Eighty of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 75%. Refer to Exhibit 9-6. The p-value is

0.025

In hypothesis testing if the null hypothesis is rejected,

None of the other answers are correct

The p-value approach to hypothesis testing and the critical value approach​

will always lead to the same rejection decision

For a two-tailed hypothesis test with a test statistic value of z = 2.05, the p-value i​

.0404

A random sample of 100 people was taken. Eighty of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 75%. Refer to Exhibit 9-6. The test statistic is

1.25

Read the t statistic from the table of t distributions and circle the correct answer. A one-tailed test (upper tail), a sample size of 18 at a .05 level of significance t =

1.740

n = 36 H0: μ ≤ 20 Xbar = 24.6 Ha: μ > 20 σ = 12 Refer to Exhibit 9-1. The test statistic equals

2.3

If a hypothesis test leads to the rejection of the null hypothesis, a

Type I error may have been committed

In hypothesis testing, the critical value is

a number that establishes the boundary of the rejection region

The probability of making a Type I error is denoted by

a- alpha

If a hypothesis is not rejected at a 5% level of significance, it will

also not be rejected at the 1% level

n = 36 H0: μ ≤ 20 Xbar = 24.6 Ha: μ > 20 σ = 12 Refer to Exhibit 9-1. If the test is done at a .05 level of significance, the null hypothesis should

be rejected

An example of statistical inference is

hypothesis testing

When the rejection region is in the lower tail of the sampling distribution, the p-value is the area under the curve

less than or equal to the test statistic

The level of significance is the

maximum allowable probability of Type I error

When the p-value is used for hypothesis testing, the null hypothesis is rejected if

p-value ≤ α

The level of significance in hypothesis testing is the probability of

rejecting a true null hypothesis

A random sample of 100 people was taken. Eighty of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 75%. Refer to Exhibit 9-6. At a .05 level of significance, it can be concluded that the proportion of the population in favor of candidate A is

significantly greater than 75%

A Type I error is committed when

ture null hypothesis is rejected