Sick Days in Bed A researcher wishes to see if the average number of sick days a worker takes per year is greater than 5. A random sample of 28 workers at a large department store had a mean of 5.6. The standard deviation of the population is 1.2. Is there enough evidence to support the researcher's claim at a=0.01? Assume that the variable is normally distributed. Use the critical value method with tables. Part 1 of 5 State the hypotheses and identify the claim with the correct hypothesis. HoH = 5 not claim ▼ H₁u>5 claim This hypothesis test is a one-tailed ▼test. Part: 1 / 5 Part 2 of 5 ▼ Find the critical value(s). Round the answer to at least two decimal places. If there is more than one critical value, separate them with commas. Critical value(s): 0.0.... + X S

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**Sick Days in Bed: A Hypothesis Testing Example**

A researcher wishes to determine if the average number of sick days a worker takes per year is greater than 5. For this study, a random sample of 28 workers at a large department store showed a mean of 5.6 sick days with a standard deviation of 1.2. The goal is to assess if there is sufficient evidence to support the researcher's claim at a significance level of \( \alpha = 0.01 \). Assume the variable is normally distributed. Use the critical value method with tables.

**Part 1 of 5**

- **State the Hypotheses and Identify the Claim with the Correct Hypothesis:**

  \[ H_0: \mu = 5 \] (not claim)   
  \[ H_1: \mu > 5 \] (claim)   

  This hypothesis test is a **one-tailed** test.

There is a progress bar for part 1 out of 5, currently full indicating completion.

**Part 2 of 5**

- **Find the Critical Value(s):**  
  Round the answer to at least two decimal places. If there is more than one critical value, separate them with commas.

  **Critical value(s):** (Input box with placeholders, example suggests decimal precision expected).

This educational example illustrates how to structure hypotheses testing for a mean, define the test directionality, and determine critical values using standard normal distribution tables.
Transcribed Image Text:**Sick Days in Bed: A Hypothesis Testing Example** A researcher wishes to determine if the average number of sick days a worker takes per year is greater than 5. For this study, a random sample of 28 workers at a large department store showed a mean of 5.6 sick days with a standard deviation of 1.2. The goal is to assess if there is sufficient evidence to support the researcher's claim at a significance level of \( \alpha = 0.01 \). Assume the variable is normally distributed. Use the critical value method with tables. **Part 1 of 5** - **State the Hypotheses and Identify the Claim with the Correct Hypothesis:** \[ H_0: \mu = 5 \] (not claim) \[ H_1: \mu > 5 \] (claim) This hypothesis test is a **one-tailed** test. There is a progress bar for part 1 out of 5, currently full indicating completion. **Part 2 of 5** - **Find the Critical Value(s):** Round the answer to at least two decimal places. If there is more than one critical value, separate them with commas. **Critical value(s):** (Input box with placeholders, example suggests decimal precision expected). This educational example illustrates how to structure hypotheses testing for a mean, define the test directionality, and determine critical values using standard normal distribution tables.
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