### Evaluating Methods to Help Smokers Quit SmokingA researcher wanted to determine which method would help smokers quit smoking. He divided a group of 183 smokers into three groups:- **Group 1**: Given a patch- **Group 2**: Given oral medication- **Group 3**: No intervention (Control Group)The results of the study are shown in the table below. The researcher's claim is tested using a significance level of \( \alpha = 0.05 \).#### Table: Results of the Study| | Group 1 | Group 2 | Group 3 ||:--------------:|:-------:|:-------:|:-------:|| **Did Not Quit** | 52 | 54 | 51 || **Quit** | 13 | 9 | 4 |*Source: Harris Poll*#### Hypothesesa. **Determine the null and alternative hypotheses.**- **Option 1:** - \( H_0 \): The methods for helping people quit smoking are the same. - \( H_a \): The methods for helping people quit smoking follow a different distribution.- **Option 2:** - \( H_0 \): The methods for helping people quit smoking are independent. - \( H_a \): The methods for helping people quit smoking are dependent.[Select the appropriate hypotheses based on the study's context.]#### Statistical Analysisb. **Determine the test statistic. Round your answer to two decimal places.**\[ \chi^2 = \_ \_ . \_ \_ \]c. **Determine the p-value. Round your answer to four decimal places.**\[ \text{p-value} = \_ . \_ \_ \_ \_ \]#### Decision Makingd. **Make a decision.**- Fail to reject the null hypothesis.- Reject the null hypothesis.[Select the appropriate decision based on the calculated test statistic and p-value.]e. **Make a conclusion.**- There is not sufficient evidence to support the claim that the methods for helping people quit smoking are different.- There is sufficient evidence to support the claim that the methods for helping people quit smoking are different.[Select the appropriate conclusion based on the decision from part (d).]#### Explanation of Graphs or Diagrams-

Given:- Solution:- (a) Null and alternative hypothesis: H0 : The…

Answered: which method would help smokers quit…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A random sample of 851 births included 431 boys. Use a 0.10 significance level to test the claim that 51.5% of newborn babies are boys. Do the results support the belief that 51.5% of newborn babies are boys?
Suppose 239 subjects are treated with a drug that is used to treat pain and 52 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea. Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. Ho: p=0.20 H₁ :p #0.20 B. Ho: p=0.20 H₁: p > 0.20 C. Ho: p=0.20 H₁: p0.20 H₁: p=0.20 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.)
Suppose 242 subjects are treated with a drug that is used to treat pain and 50 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea. Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.20 H₁: p0.20 H₁: p=0.20 OC. Ho: p=0.20 H₁: p>0.20 O D. Ho: p=0.20 H₁: p=0.20
Suppose 450 subjects are treated with a drug that is used to treat pain and 140 of them developed nausea. Use a 0.05 significance level to test the claim that more than 205% of users develop nausea. The test statistic for this hypothesis test is (Round to two decimal places as needed.) Show word count ( Previous Next
4. Researchers believe that men are more physically aggressive than women. To test this, researchers ask 20 participants (10 male, 10 female) to rate how aggressive they are on a scale from 1 to 10. Their scores are listed below. Conduct all six steps of hypothesis testing (use p=.05). Be sure to label all six steps. Also, include a concluding statement (which should include the effect size). Males Females 9 1 8 3 9 5 7 2 8 4 6 3 5 2 9 5 7 4 8 3 M 7.6 3.2 s 1.35 1.32
The US Department of Energy reported that 48% of homes were heated by natural gas. A random sample of 336 homes in Oregon found that 142 were heated by natural gas. Test the claim that proportion of homes in Oregon that were heated by natural gas is different than what was reported. Use a 10% significance level. Give answer to at least 4 decimal places. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Based on the hypotheses, compute the following:Test Statistic = p-value =
Suppose 230 subjects are treated with a drug that is used to treat pain and 52 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea. Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0:p=0.20 H1:p>0.20 B. H0:p=0.20H1: p≠0.20 C. H0:p=0.20 H1:p<0.20 D. H0:p>0.20 H1:p=0.20 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is ___________ (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is ___________ (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test.
5. It is claimed that the proportion of high school athletes who go on to play sports in college is 0.08. Believing this claimed value is incorrect, a researcher surveys a random sample of former high school athletes and finds that the proportion who went on to play sports in college is 0.07. When a hypothesis test is conducted at a significance (or alpha) level of 0.10, the P-value is found to be 0.06. What decision should the researcher make based on the results of the hypothesis test? 1. The null hypothesis should be rejected because 0.06 is less than 0.10. 2. The null hypothesis should be rejected because 0.06 is less than 0.07. 3. The null hypothesis should be rejected because 0.06 is less than 0.08. 4. The null hypothesis should be rejected because 0.07 is less than 0.08. 5. The null hypothesis should not be rejected.
A graduate student believes that people consider faces with more contrast between eye color and skin tone as more feminine. She identifies the null and alternative hypotheses as: H₀: The level of contrast between eye color and skin tone does not affect how feminine a face is considered. H₁: The level of contrast between eye color and skin tone affects how feminine a face is considered. She chooses a significance level of 0.01. After she collects the data and computes the sample statistics, it is time for her to make a decision about H₀. Check the two possible decisions that the graduate student can make given her choices of H₀ and H₁. Check all that apply. There is not enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered. There is enough evidence to reject the hypothesis that the contrast between eye color and skin tone affects how feminine a face is considered. There is not enough…
Suppose 244 subjects are treated with a drug that is used to treat pain and 53 of them developed nausea. Use a 0.05 significance level to test the claim that more than 20% of users develop nausea. H0:p=0.20 H1:p>0.20 Identify the test statistic for this hypothesis test Identify the P-value for this hypothesis test.
14. In 2005, Health Canada claimed that 16.7% of Canadian adults are obese. A researcher wanted to check whether this percentage has changed in 2009. He randomly selected 200 Canadian adults and found 29 of them are obese. Use9% significance level. Null and alternative hypothesis are a) H0: p = 0.167, H1: p not equal to 0.167 b) H0: mu not equal to 16.7, H1: mu = 16.7 c) H0: p not equal to 0.167, H1: p = 0.167 d) H0: mu = 16.7, H1: mu not equal to 16.7
Suppose 242 subjects are treated with a drug that is used to treat pain and 55 of them developed nausea. Use a 0.10 significance level to test the claim that more than 20% of users develop nausea. Identify the null and alternative hypotheses for this test. Identify the test statistic for this hypothesis test. Identify the P-value for this hypothesis test. Identify the conclusion for this hypothesis test.

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