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Home computersRefer to Exercise 35.

a. Explain why the sample result gives some evidence for the alternative hypothesis.

b. Calculate the standardized test statistic and P-value.

c. What conclusion would you make?

Short Answer

Expert verified

a. Sample proportion of 0.6833<0.80.

b. Z=-2.26and P=0.0119

c. There is convincing proof that proportion of all students at researcher's high school who owns computer is less than0.80

Step by step solution

01

Part (a) Step 1: Given Information

It is given that α=0.05

H0:p=0.80

H1:p<0.80

n=60,x=41

02

Part (a) Step 2: Calculation

We know that p^=xn

Hence, sample proportion is p^=xn=4160=0.6833

0.6833<0.80, the sample results give some evidence for alternate hypothesis as it agrees to alternate hypothesisH1:p<0.80

03

Part (b) Step 1: Given Information

It is given that α=0.05

H0:p=0.80

H1:p<0.80

n=60,x=41

04

Part (b) Step 2: Explanation

The sample proportion is p^=xn=4160=0.6833

Test statistics z=p^-p0p01-p0n=0.6833-0.800.80(1-0.80)60=-2.26

The Pvalue is probability of obtaining value of test static, or more extreme value, if null hypothesis is true.

Hence, Pvalue is

P=P(z<-2.26)=0.0119

05

Part (c) Step 1: Given Information

It is given that α=0.05

H0:p=0.80

H1:p<0.80

n=60,x=41

06

Part (c) Step 2: Explanation

Sample proportion is p^=xn=4160=0.6833

Test statistic is

z=p^-p0p01-p0n=0.6833-0.800.80(1-0.80)60=-2.26

Pvalue using normal probability table is:

P=P(z<-2.26)=0.0119

P<0.05RejectH0

Enough convincing proof is that proportion of all students at researcher's high school who owns computer is less than0.80

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Most popular questions from this chapter

Fire the coach!A college president says, “More than two-thirds of the alumni support my firing of Coach Boggs.” The president’s statement is based on 200emails he has received from alumni in the past three months. The college’s athletic director wants to perform a test of H0:p=2/3versus Ha:p>2/3, where p= the true proportion of the college’s alumni who favor firing the coach. Check if the conditions for performing the significance test are met.

Members of the city council want to know if a majority of city residents supports a 1%increase in the sales tax to fund road repairs. To investigate, they survey a random sample of 300city residents and use the results to test the following hypotheses:

H0:p=0.50

Ha:p>0.50

where pis the proportion of all city residents who support a 1% increase in the sales tax to fund road repairs.

A Type I error in the context of this study occurs if the city council

a. finds convincing evidence that a majority of residents supports the tax increase, when in reality there isn’t convincing evidence that a majority supports the increase.

b. finds convincing evidence that a majority of residents supports the tax increase, when in reality at most 50%of city residents support the increase.

c. finds convincing evidence that a majority of residents supports the tax increase, when in reality more than 50%of city residents do support the increase.

d. does not find convincing evidence that a majority of residents supports the tax increase, when in reality more than 50%of city residents do support the increase.

Side effects A drug manufacturer claims that less than 10%of patients who take its new drug for treating Alzheimer’s disease will experience nausea. To test this claim, researchers conduct an experiment. They give the new drug to a random sample of 300out of 5000Alzheimer’s patients whose families have given informed consent for the patients to participate in the study. In all, 25of the subjects experience nausea.

a. Describe a Type I error and a Type II error in this setting, and give a possible

consequence of each.

b. Do these data provide convincing evidence for the drug manufacturer’s claim?

Walking to school Refer to Exercise 36.

a. Explain why the sample result gives some evidence for the alternative hypothesis.

b. Calculate the standardized test statistic and P-value.

c. What conclusion would you make?

Making conclusions A student performs a test of H0:p=0.75versus Ha:p<0.75at α=0.05significance level and gets a P-value of 0.22

The student writes: “Because the P-value is large, we accept H0. The data provide convincing evidence that null hypothesis is true". Explain what is wrong with this conclusion.

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