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No homework? Refer to Exercise 1. The math teachers inspect the

homework assignments from a random sample of 50 students at the school. Only 68% of the students completed their math homework. A significance test yields a P-value of 0.1265.

a. Explain what it would mean for the null hypothesis to be true in this setting.

b. Interpret the P-value.

Short Answer

Expert verified

Part a) H0:p=75%=0.75

Part b)

Step by step solution

01

Part a) Step 1: Given information

The claim is proportion is less than 75%

02

Part a) Step 2: The objective is to explain the mean for the null hypothesis to be true in this setting.

The null hypothesis statement states that the population value is equal to the claim value:

H0:p=75%=0.75

If the null hypothesis H0:p=75%=0.75is correct,

then 75%of all students at the researcher's school finished their homework assignments last night.

03

part b) Step 1: Given information

P-value=0.1265=12.65%

p^=68%=0.68

04

Part b) Step 2: The objective is to explain the p value

The claim is proportion is less than75%

The null hypothesis or the alternative hypothesis is the claim. The null hypothesis statement states that the population is equal to the claim value. If the claim is the null hypothesis, then the alternative hypothesis statement is the inverse of the null hypothesis.

H0:p=75%=0.75Ha:p<0.75

When the null hypothesis is true, the P-value is the probability of receiving the value of the test statistic or a more extreme value.

When the population proportion of all students at the school who finished their homework assignments last night is0.75, there is a12.65%chance that the sample proportion of students in the sample who finished their homework assignments last night is0.68or less.

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Most popular questions from this chapter

Donโ€™t argue Refer to Exercises 2 and 12.

a. What conclusion would you make at the ฮฑ=0.01 level?

b. Would your conclusion from part (a) change if a 5% significance level was used

instead? Explain your reasoning.

Teens and sex The Gallup Youth Survey asked a random sample of U.S. teens aged 13 to 17 whether they thought that young people should wait until marriage to have sex.14 The Minitab output shows the results of a significance test and a 95% confidence interval based on the survey data.

a. Define the parameter of interest.

b. Check that the conditions for performing the significance test are met in this case.

c. Interpret the P-value.

d. Do these data give convincing evidence that the actual population proportion differs from 0.5? Justify your answer with appropriate evidence.

18%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.

In the sample, p^=158/300=0.527, The resulting P-value is 0.18. What is the correct interpretation of this P-value?

a. Only 18% of the city residents support the tax increase.

b. There is an 18%chance that the majority of residents supports the tax increase.

c. Assuming that 50%of residents support the tax increase, there is an 18%probability that the sample proportion would be 0.527or greater by chance alone.

d. Assuming that more than 50%of residents support the tax increase, there is an 18%probability that the sample proportion would be 0.527or greater by chance alone.

e. Assuming that 50%of residents support the tax increase, there is an 18% chance that the null hypothesis is true by chance alone.

Which of the following has the greatest probability?

a.P(t>2)if t has 5 degrees of freedom.

b. P(t>2) if t has 2 degrees of freedom.

c. P(z>2) if z is a standard Normal random variable.

d.P(t<2)if t has 5 degrees of freedom.

e.P(z<2) if z is a standard Normal random variable.

Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that fewer than 5% of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of 1000 adults.

a. State appropriate hypotheses for testing the companyโ€™s claim. Be sure to define your parameter.

b. Describe a Type I error and a Type II error in this setting, and give the consequences Page Number: 615 of each.

c. Would you recommend a significance level of 0.01, 0.05, or 0.10 for this test? Justify your choice.

d. The power of the test to detect the fact that only 3% of adults who use this vaccine would develop flu using ฮฑ=0.05 is 0.9437. Interpret this value.

e. Explain two ways that you could increase the power of the test from part (d).

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