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Unit 6 Part 4 Intro to Significance Tests

Total questions: 17

Worksheet time: 34mins

Name
Class
Date
1.
Which of the following represents the appropriate null & alternative hypotheses?
The mean height of women is greater than 64"
a)
H₀: μ > 64"
Hₐ: μ ≠ 64"
b)
H₀: μ = 64"
Hₐ: μ > 64"
c)
H₀: p > 64"
Hₐ: p ≠ 64"
d)
H₀: p = 64"
Hₐ: p > 64"
2.
The p-value of a hypothesis test is .0281.  Is this result significant at the 5% significance level?
a)
Yes, because .0281 > .05.
b)
Yes, because .0281 < .05.
c)
No, because .0281 < .05.
d)
No, because .0281 > .05.
3.
The p-value of a hypothesis test is .0281. Is this result significant at the 1% significance level?
a)
Yes, because .0281 > .01.
b)
No, because .0281 > .01.
c)
No, because .0281 < .01.
d)
Yes, because .0281 < .01.
4.

What is the alternative hypothesis?

a)

Ho: p = .39

b)

Ho: p < .39

c)

Ho: p > .39

d)

Ho: p ≠ .39

5.

What is the null hypothesis

a)

Ho: p = .39

b)

Ho: p < .39

c)

Ho: p > .39

d)

Ho: p ≠ .39

6.

What is the parameter?

a)

p is the true proportion of elementary students who want a career helping others

b)

n is 128 children

c)

p is the mean number of children asked

d)

Fail to Reject the Ho

7.
In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
a)
using a small level of significance
b)
using a large level of significance
c)
obtaining data with a small p-value
d)
obtaining data with a low test statistic
8.
A P-value indicates:
a)
the probability that the null hypothesis is true
b)
the probability that the alternative hypothesis is true
c)
the probability of obtaining the results (or one more extreme) if the null hypothesis is true
d)
probability of a Type I error
9.

When p-value is greater than alpha we:

a)

Reject Ho

b)

Fail to reject Ha

c)

Fail to reject Ho

d)

Reject Ha

10.

The symbol for the significance level is ____.

a)

α\alpha

b)

θ\theta

c)

π\pi

d)

μ\mu

11.

If p-value < α\alpha  , then the sample is unusual if the null is correct, so we ______ the null and have convincing evidence that the alternative is true, and the results are ___________. 

a)

fail to reject, statistically significant

b)

reject, statistically significant

c)

fail to reject, not statistically significant

d)

reject, not statistically significant

12.

Small p-values mean that our sample was very unlikely if the null hypothesis is true. Therefore, small p-values are ________________ that the null hypothesis is wrong.

a)

convincing evidence

b)

believable proof

c)

reliable information

d)

justifiable inference

13.

When performing a significance test, we're looking for convincing evidence to __________ the null hypothesis in favor of the alternative hypothesis.

a)

refute

b)

dispute

c)

reject

d)

accept

14.

Some people say that more babies are born in September than in any other month. To test this claim, you take a simple random sample of 150 students at your school and find that 21 of them were born in September. You are interested in whether the proportion born in September is higher than 1/12—what you would expect if September was no different from any other month. Thus your null hypothesis is H0: p= 1/12. The P-value for your test is 0.0056. Which of the following

statements best describes what the P-value measures?

a)

The probability that September birthdays are no more common that any other month is 0.0056.

b)

The probability that September birthdays are more common is 0.0056

c)

The probability that the proportion of September birthdays in the population is not equal to 1/12 is 0.0056

d)

0.0056 is the probability of getting a sample with a proportion of September birthdays this far or farther above 1/12 if the true proportion is 1/12

e)

0.0056 is the probability of getting a sample with a proportion of September birthdays this close to 1/12 if the true proportion is not 1/12

15.

The mean time it takes for a person to experience pain relief from aspirin is 25 minutes. A new ingredient is added to help speed up relief. Let µ denote the mean time to obtain pain relief with the new product. An experiment is conducted to verify if the new product works more quickly. What are the null and alternative hypotheses for the appropriate test of significance?

a)

H0 : µ = 25 vs. Ha : µ ≠ 25

b)

H0 : µ = 25 vs. Ha : µ < 25

c)

H0 : µ < 25 vs. Ha : µ = 25

d)

H0 : µ < 25 vs. Ha : µ > 25

e)

H0 : µ = 25 vs. Ha : µ > 25

16.

A test of H0: µ=60 versus Ha: µ≠60 produces a sample mean of x-bar = 58 and a P-value of 0.04. At an α = 0.05 level, which of the following is an appropriate conclusion?

a)

There is sufficient evidence to conclude that µ < 60.

b)

There is sufficient evidence to conclude that µ = 60.

c)

There is insufficient evidence to conclude that µ = 60.

d)

There is insufficient evidence to conclude that µ ≠ 60

e)

There is sufficient evidence to conclude that µ ≠ 60.

17.

Identify the correct null hypothesis:


Is the proportion of babies born male different from 50%? In a sample of 200 babies, 96 were male. Test the claim using a level of significance of 1%.

a)

H0: p = 0.50

b)

H0: µ = 100

c)

H0: p = 0.48

d)

H0: µ = 96