Question 13

Bias refers to the tendency of a sample statistic to systematically overestimate or underestimate a population parameter.

Group of answer choices

True

False

Question 12

Bonus Question (5 bonus points)

Can an athlete's cardiovascular fitness (as measured by time to exhaustion on a treadmill) help to predict the athlete's performance in the women's 10,000 meter event for the Summer Olympics 2021? To address this question the time to exhaustion on a treadmill (minutes) and the time to complete a 10,000 meter race (minutes) were recorded for a sample of 11 athletes. The researcher hypothesizes that there would be an inverse linear relationship, that is, the longer the time to exhaustion, the faster the athlete's time in the event, on average. The data were used to provide the following output.

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What is the test statistic?

Use 2decimal points.

Question 11

Bonus Question (5 bonus points)

Can an athlete's cardiovascular fitness (as measured by time to exhaustion on a treadmill) help to predict the athlete's performance in the women's 10,000 meter event for the Summer Olympics 2021? To address this question the time to exhaustion on a treadmill (minutes) and the time to complete a 10,000 meter race (minutes) were recorded for a sample of 11 athletes. The researcher hypothesizes that there would be an inverse linear relationship, that is, the longer the time to exhaustion, the faster the athlete's time in the event, on average. The data were used to provide the following output.

SLR.pdf Download SLR.pdf

What is the least squares regression equation for predicting the race time based on the athlete's treadmill exhaustion time?

Question 10

Regents of a large state university proposed a plan to increase student fees in order to build new parking facilities. A news channel claims that over 70% of the students are opposed to the plan. You wish to test this claim. A random sample of 18 students is taken and 17 of them are opposed to the plan.

The decision at the level of significance of 5% is to reject the null hypothesis.

Group of answer choices

True

False

Question 9

Regents of a large state university proposed a plan to increase student fees in order to build new parking facilities. A news channel claims that over 70% of the students are opposed to the plan. You wish to test this claim. A random sample of 18 students is taken and 17 of them are opposed to the plan.

Provide the p-value for testing the hypotheses. use 4 decimal points.

Question 8

Regents of a large state university proposed a plan to increase student fees in order to build new parking facilities. A news channel claims that over 70% of the students are opposed to the plan. You wish to test this claim. A random sample of 18 students is taken and 17 of them are opposed to the plan.

Calculate the test statistic. Use 2 decimal points.

Question 7

Regents of a large state university proposed a plan to increase student fees in order to build new parking facilities. A news channel claims that over 70% of the students are opposed to the plan. You wish to test this claim. A random sample of 18 students is taken and 17 of them are opposed to the plan.

State the null and alternative hypotheses.

Group of answer choices

p^= 0.70; p^> 0.70

P = 0.70; P 0.70

p^=0.70;p^0.70

P = 0.70; P > 0.70

Question 6

In a survey of n = 2000 randomly selected individuals, 47% answered yes to the question "Do you think the use of marijuana should be made legal or not?"

The underlined value can be denoted as ________?

Group of answer choices

p^

x

p

Question 5

If the cost of a Type I error is high, a smaller value should be chosen for the_____.

Group of answer choices

power

level of significance

df

Question 4

A researcher plans to conduct a test of hypotheses at the 1% significance level. She designs her study to have a power of 0.90 (or 90%) at a particular alternative value of the parameter of interest.

What is the probability that the researcher will commit a Type II error?

Group of answer choices

90%

10%

20%

1%

Question 3

A researcher plans to conduct a test of hypotheses at the 1% significance level. She designs her study to have a power of 0.90 (or 90%) at a particular alternative value of the parameter of interest.

What is the probability that the researcher will commit a Type I error?

Group of answer choices

90%

1%

99%

80%

Question 2

If a test was statistically significant at =0.05, then it is statistically significant at =0.005.

Group of answer choices

Cannot tell

True

False