Reference no: EM13473293

1.Which of the following values is not typically used for ?

A.0.01

B.0.10

C.0.50

D.0.05

2.A null hypothesis can only be rejected at the 5% significance level if and only if:

A.the null hypotheses includes sampling error

B.the null hypothesis is biased

C.a 95% confidence interval does not include the hypothesized value of the parameter

D.a 95% confidence interval includes the hypothesized value of the parameter

3.A severe storm has an average peak wave height of 16.4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean?

A. H1: is not equal to 16.4 feet; the P-value area is on the right of the mean

B. H1: is less than 16.4 feet; the P-value area is on the left of the mean

C. H1: is greater than 16.4 feet; the P-value area is on both sides of the mean

D. H1: is greater than 16.4 feet; the P-value area is on the left of the mean

4.The "Pizza Hot" manager commits a Type I error if he/she is

A.switching to new style when it is no better than old style

B.staying with old style when new style is no better than old style

C.staying with old style when new style is better

D.switching to new style when it is better than old style

5.The hypothesis that an analyst is trying to prove is called the:

A.level of significance

B.quality of the researcher

C.elective hypothesis

D.alternative hypothesis

6.Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance.

State the null and alternative hypotheses.

A.H0: p = .79, H1: p ≠ .79

B.H0: ? = .79, H1: ? > .79

C.H0: p ≤ .79, H1: p > .79

D. H0: = .79, H1: > .79

7.In an article appearing in Today's Health a writer states that the average number of calories in a serving of popcorn is 75. To determine if the average number of calories in a serving of popcorn is different from 75, a nutritionist selected a random sample of 20 servings of popcorn and computed the sample mean number of calories per serving to be 78 with a sample standard deviation of 7.

At the ? = .05 level of significance, does the nutritionist have enough evidence to reject the writer's claim?

A.Cannot Determine

B.No

C.Yes

8.A.z = 1.96

B.z = 0.62

C.t = 1.645

D.z = 0.69

9.A type I error occurs when the:

A.test is biased

B.sample mean differs from the population mean

C.null hypothesis is incorrectly rejected when it is true

D.null hypothesis is incorrectly accepted when it is false

10.In an article appearing in Today's Health a writer states that the average number of calories in a serving of popcorn is 75. To determine if the average number of calories in a serving of popcorn is different from 75, a nutritionist selected a random sample of 20 servings of popcorn and computed the sample mean number of calories per serving to be 78 with a sample standard deviation of 7.

Compute the z or t value of the sample test statistic.

A.z = 1.916

B.t = -1.916

C.z = 1.645

D.t = 1.916