In a survey of 444 HIV-positive smokers, 187 reported that they had used a nicotine patch to try to quit smoking. Can you conclude that less than half of HIV-positive smokers have used a nicotine patch? Use the a=0.05 level of significance and the P-value method with the TI-84 Plus calculator. Part 1: State the appropriate null and alternate hypotheses.

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Author:Amos Gilat
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Question 3: Quit smoking: In a survey of 444 HIV-positive smokers, 187 reported that they had used a nicotine patch to try to quit smoking. Can you conclude that less than half of HIV-positive smokers have used a nicotine patch? Use the a=0.05 level of significance and the P-value method with the TI-84 Plus calculator.

Part 1: State the appropriate null and alternate hypotheses.

H0:

H1:

  • This hypothesis test is a (BLANK) test.

 

Part 2: Compute the value of the test statistic. Round the answer to at least two decimal places.

z=(BLANK)

 

 

Part 3: Compute the P-value. Round the answer to at least four decimal places.

P-value: (BLANK)

 

 

Part 4: Determine whether to reject H0.

At the a=0.05 level, ▼Answer Choice the null hypothesis H0 .

Answer Choice:

  • Reject
  • Do Not Reject

 

Part 5: Using a=0.05, can you conclude that less than half of HIV-positive smokers have used a nicotine patch?

At the a=0.05 level of significance, there ▼Answer Choice enough evidence to conclude that less than half of HIV-positive smokers have used a nicotine patch.

  • Is
  • Is Not

 

 

Question 6: Mercury pollution: Mercury is a toxic metal that is used in many industrial applications. Eight measurements, in milligrams per cubic meter, were taken of the mercury concentration in a lake, with the following results. Assume that the population of measurements is approximately normally distributed.

0.99 1.01 1.02 0.94 0.93 1.00 0.96 0.98

Sample size: 8

Sample mean: 0.979

Sample standard deviation: 0.033

Can you conclude that the mean concentration is less than 1 milligram per cubic meter? Use the a =0.05  level of significance.

H0: μ=1
H1:μ< 1

Part 1: (a) Find the P-value. Round your answer to four decimal places if necessary.

The P-value is (BLANK)

 

Part 2: (b) What is the decision?

A. Reject H0

B. Do Not Reject H0

 

Part 3: (c) Interpret the result.

We ▼(Choose one) enough evidence at the  0.05 level of significance to conclude that mean concentration is less than 1 milligram per cubic meter.
 
Answer Choices:
A.Have 
B. Do Not Have 
 
 
 
 

Question 12: Spam: A researcher reported that 71.8% of all email sent in a recent month was spam. A system manager at a large corporation believes that the percentage at his company may be 68% . He examines a random sample of 500 emails received at an email server, and finds that 361 of the messages are spam. Can you conclude that the percentage of emails that are spam is greater than 68%? Use both a=0.10 and a=0.01 levels of significance and the P-value method with the TI-84 Plus calculator.

Part 1: State the appropriate null and alternate hypotheses.

H0:

H1:

  • This hypothesis test is a (BLANK) test.

 

 

 

Part 2: Compute the value of the test statistic. Round the answer to at least two decimal places.

z=(BLANK)

 

 

Part 3: Compute the P-value. Round the answer to at least four decimal places.

P-value: (BLANK)

 

Part 4: (d) Determine whether to reject H0.

  • At the a=0.10 level, ▼(Choose one) the null hypothesis H0.
  • At the a=0.01 level, ▼(Choose one) the null hypothesis H0.

 

Part 5: (e) State a conclusion.

  • At the a=0.10 level of significance, there▼(Choose one) enough evidence to conclude that greater than 68% of emails are spam.
  • At the a=0.01 level of significance, there▼(Choose one) enough evidence to conclude that greater than 68% of emails are spam.

Answer Choice:

  • Is
  • Is Not
 
 
 

Question 14: Big houses: The U.S. Census Bureau reported that the mean area of U.S. homes built in 2018 was 2559 square feet. Assume that a simple random sample of 22 homes built in 2020 had a mean area of 2654 square feet, with a standard deviation of 184 square feet. Assume the population of areas is normally distributed. Can you conclude that the mean area of homes built in 2020 is greater than that of homes built in 2018 ? Use the a=0.01 level of significance.

Part 1: (a) Find the -value. Use the TI-84 calculator and round your answer to at least four decimal places.

The P-value is (BLANK)

 

Part 2: (b) What is the decision?

A. Reject H0

B. Do Not Reject H0

 

Part 3: (c) Interpret the result.

We ▼(Choose one) enough evidence at the 0.01 level of significance to conclude that the mean area of homes built in 2020▼(Choose one) that of homes built in 2018.

Answer Choice:

  • Have
  • Do Not Have

 

Answer Choice:

  • Is greater than
  • Is not equal to
 
 
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