A recent study stated that if a person chewed gum, the average number of sticks of gum he or she chewed daily was 8. To test the claim, a researcher selected a random sample of 36 gum chewers and found the mean number of sticks of gum chewed per day was 9. The standard deviation of the sample was 1. Use the level of significance of 0.05 , test the claim that the number of sticks of gum a person chews per day is actually greater than 8? Use any method, however, follow the PHANTOMS acronym to answer the question.

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Follow PHANTOMS acronym
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### Steps to Conducting a Statistical Test

**P - Parameter Statement**
Define the parameter of interest in the context of the problem.

**H - Hypotheses**
State the null and alternative hypotheses clearly. The null hypothesis (H₀) typically represents a statement of no effect or no difference, while the alternative hypothesis (H₁ or Ha) represents a statement of an effect or difference.

**A - Assumptions & Conditions**
List and check the assumptions and conditions necessary for conducting the test. This might include assumptions about the distribution of the data, sample size, independence, etc.

**N - Name the Test**
Identify and name the appropriate statistical test you will use based on the parameter and the hypotheses.

**T - Test Statistic**
Calculate the test statistic using the sample data. The test statistic is a standardized value that is calculated from sample data during a hypothesis test.

**O - Obtain the P-Value**
Find the p-value associated with the test statistic. The p-value indicates the probability of observing your data, or something more extreme, if the null hypothesis is true.

**M - Make a Decision about the Null Hypothesis**
Compare the p-value to the significance level (α) to make a decision about the null hypothesis. If p-value ≤ α, reject the null hypothesis; if p-value > α, fail to reject the null hypothesis.

**S - State Your Conclusion About the Claim**
Provide a conclusion in the context of the original claim. Interpret the results of your hypothesis test in plain language, explaining what the decision implies about the context of the problem.

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Transcribed Image Text:--- ### Steps to Conducting a Statistical Test **P - Parameter Statement** Define the parameter of interest in the context of the problem. **H - Hypotheses** State the null and alternative hypotheses clearly. The null hypothesis (H₀) typically represents a statement of no effect or no difference, while the alternative hypothesis (H₁ or Ha) represents a statement of an effect or difference. **A - Assumptions & Conditions** List and check the assumptions and conditions necessary for conducting the test. This might include assumptions about the distribution of the data, sample size, independence, etc. **N - Name the Test** Identify and name the appropriate statistical test you will use based on the parameter and the hypotheses. **T - Test Statistic** Calculate the test statistic using the sample data. The test statistic is a standardized value that is calculated from sample data during a hypothesis test. **O - Obtain the P-Value** Find the p-value associated with the test statistic. The p-value indicates the probability of observing your data, or something more extreme, if the null hypothesis is true. **M - Make a Decision about the Null Hypothesis** Compare the p-value to the significance level (α) to make a decision about the null hypothesis. If p-value ≤ α, reject the null hypothesis; if p-value > α, fail to reject the null hypothesis. **S - State Your Conclusion About the Claim** Provide a conclusion in the context of the original claim. Interpret the results of your hypothesis test in plain language, explaining what the decision implies about the context of the problem. ---
**Problem Statement: Testing the Average Number of Gum Sticks Chewed Per Day**

A recent study stated that if a person chewed gum, the average number of sticks of gum he or she chewed daily was 8. To test this claim, a researcher selected a random sample of 36 gum chewers and found the mean number of sticks of gum chewed per day was 9. The standard deviation of the sample was 1. 

Use the level of significance \( \alpha = 0.05 \) to test the claim that the number of sticks of gum a person chews per day is actually greater than 8. Use any method, however, follow the PHANTOMS acronym to answer the question.

**PHANTOMS Acronym for Hypothesis Testing:**
1. **P:** Parameter of interest - The mean number of sticks of gum chewed per day.
2. **H:** Hypotheses –
   - Null hypothesis (\( H_0 \)): \( \mu = 8 \)
   - Alternative hypothesis (\( H_a \)): \( \mu > 8 \)
3. **A:** Assumptions - The sample data are random, the sample size is large enough (n=36), and the population is normally distributed or the sample size is sufficiently large for the Central Limit Theorem to apply.
4. **N:** Name the procedure - One-sample t-test for the mean.
5. **T:** Test statistic – Calculate the test statistic using the formula:
\[ t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}} \]
   Where:
   - \( \bar{x} = 9 \) (sample mean)
   - \( \mu_0 = 8 \) (population mean under the null hypothesis)
   - \( s = 1 \) (sample standard deviation)
   - \( n = 36 \) (sample size)
   \[ t = \frac{9 - 8}{1 / \sqrt{36}} = \frac{9 - 8}{1 / 6} = \frac{1}{1 / 6} = 6 \]
   
6. **O:** Obtain the p-value – Using a t-distribution table or calculator, find the p-value for the test statistic \( t = 6 \) with \( df = n - 1 = 35 \).
7. **M
Transcribed Image Text:**Problem Statement: Testing the Average Number of Gum Sticks Chewed Per Day** A recent study stated that if a person chewed gum, the average number of sticks of gum he or she chewed daily was 8. To test this claim, a researcher selected a random sample of 36 gum chewers and found the mean number of sticks of gum chewed per day was 9. The standard deviation of the sample was 1. Use the level of significance \( \alpha = 0.05 \) to test the claim that the number of sticks of gum a person chews per day is actually greater than 8. Use any method, however, follow the PHANTOMS acronym to answer the question. **PHANTOMS Acronym for Hypothesis Testing:** 1. **P:** Parameter of interest - The mean number of sticks of gum chewed per day. 2. **H:** Hypotheses – - Null hypothesis (\( H_0 \)): \( \mu = 8 \) - Alternative hypothesis (\( H_a \)): \( \mu > 8 \) 3. **A:** Assumptions - The sample data are random, the sample size is large enough (n=36), and the population is normally distributed or the sample size is sufficiently large for the Central Limit Theorem to apply. 4. **N:** Name the procedure - One-sample t-test for the mean. 5. **T:** Test statistic – Calculate the test statistic using the formula: \[ t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}} \] Where: - \( \bar{x} = 9 \) (sample mean) - \( \mu_0 = 8 \) (population mean under the null hypothesis) - \( s = 1 \) (sample standard deviation) - \( n = 36 \) (sample size) \[ t = \frac{9 - 8}{1 / \sqrt{36}} = \frac{9 - 8}{1 / 6} = \frac{1}{1 / 6} = 6 \] 6. **O:** Obtain the p-value – Using a t-distribution table or calculator, find the p-value for the test statistic \( t = 6 \) with \( df = n - 1 = 35 \). 7. **M
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