Part 1 of 5 (a) State the hypotheses and identify the claim. Ho: 33 not claim H₁: μ<33 claim This hypothesis test is a one-tailed ▼test. Part: 1/5 Part 2 of 5 (b) Find the critical value(s). Round the answer to three decimal places. If there is more than one critical value, seperate them with commas. Critical value(s): D.D.... Use the critical value method and tables. X

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C. Compute the test value D. Make a decision
### Cigarette Smoking Hypothesis Testing

A researcher conducted a study to evaluate the average number of cigarettes smoked per day by smokers. It was initially found that smokers consume, on average, 33 cigarettes a day. The researcher believes this number is too high and hypothesizes that smokers actually consume fewer than 33 cigarettes daily. Here is the examination of this claim using a sample study:

---

#### Study Overview

- **Sample Information:**
  - Sample size (\(n\)): 10 smokers
  - Sample mean (\(\bar{x}\)): 27 cigarettes per day
  - Sample standard deviation (\(s\)): 2.5

- **Significance Level:**
  - \(\alpha = 0.01\)

---

#### Part 1 of 5: Setting the Hypotheses

(a) **State the hypotheses and identify the claim.**

- **Null Hypothesis (\(H_0\))**: \(\mu = 33\) (The average number of cigarettes smoked per day is 33).
- **Alternative Hypothesis (\(H_1\))**: \(\mu < 33\) (Claim: The average number of cigarettes smoked per day is less than 33).

The test is a **one-tailed** test, focusing on detecting a decrease in the number smoked cigarettes.

#### Progress

- Completion: **Part: 1 / 5**
  - Progress bar indicated with a visual meter.

---

#### Part 2 of 5: Determining Critical Values

(b) **Find the critical value(s).** The answer should be rounded to three decimal places. If more than one critical value exists, separate them with commas.

- **Critical value(s)**: [Input field to determine values]

This section guides in calculating the statistical critical values needed to evaluate the hypothesis at the given significance level.
Transcribed Image Text:### Cigarette Smoking Hypothesis Testing A researcher conducted a study to evaluate the average number of cigarettes smoked per day by smokers. It was initially found that smokers consume, on average, 33 cigarettes a day. The researcher believes this number is too high and hypothesizes that smokers actually consume fewer than 33 cigarettes daily. Here is the examination of this claim using a sample study: --- #### Study Overview - **Sample Information:** - Sample size (\(n\)): 10 smokers - Sample mean (\(\bar{x}\)): 27 cigarettes per day - Sample standard deviation (\(s\)): 2.5 - **Significance Level:** - \(\alpha = 0.01\) --- #### Part 1 of 5: Setting the Hypotheses (a) **State the hypotheses and identify the claim.** - **Null Hypothesis (\(H_0\))**: \(\mu = 33\) (The average number of cigarettes smoked per day is 33). - **Alternative Hypothesis (\(H_1\))**: \(\mu < 33\) (Claim: The average number of cigarettes smoked per day is less than 33). The test is a **one-tailed** test, focusing on detecting a decrease in the number smoked cigarettes. #### Progress - Completion: **Part: 1 / 5** - Progress bar indicated with a visual meter. --- #### Part 2 of 5: Determining Critical Values (b) **Find the critical value(s).** The answer should be rounded to three decimal places. If more than one critical value exists, separate them with commas. - **Critical value(s)**: [Input field to determine values] This section guides in calculating the statistical critical values needed to evaluate the hypothesis at the given significance level.
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