How do I find the critical values for: “is there a doctor in the house?”

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How do I find the critical values for: “is there a doctor in the house?”
### Is there a doctor in the house?

A market research firm reported the mean annual earnings of all family practitioners in the United States was $178,258. A random sample of 59 family practitioners in Los Angeles had mean earnings of $\overline{x} = $191,350, with a standard deviation of $42,897. Do the data provide sufficient evidence to conclude that the mean salary for family practitioners in Los Angeles differs from the national average? Use the $\alpha = 0.01$ level of significance and the critical value method with the table.

#### (a) State the appropriate null and alternate hypotheses.

**Null Hypothesis (H₀):**

\[ \mu = 178,258 \]

**Alternate Hypothesis (H₁):**

\[ \mu \neq 178,258 \]

This hypothesis test is a two-tailed test.

*Screenshot Provided:*

- **H₀:** \(\mu = 178,258\)
- **H₁:** \(\mu \neq 178,258\)
- Note indicating: This hypothesis test is a two-tailed test.

#### Part 2 of 5

Find the critical value(s). Round the answer(s) to three decimal places. If there is more than one critical value, separate them with commas.

**Critical value(s):**
[To be determined by the student based on the specific standard normal distribution table or t-distribution table used.]

### Steps for Students:

1. **Determine the critical value for a two-tailed test at the α=0.01 significance level**:
   - Check standard normal (z) distribution table or t-distribution table depending on whether population standard deviation is known and if the sample size permits the use of z-distribution.
   - For z-distribution, it commonly results in ±2.576 for a two-tailed test at α=0.01.
 
2. **Illustrative Explanation**:
   - Use √(n - 1) tables or technology/software for precise critical values if t-distribution is needed.
   - Insert rounded critical values in the provided space.

Feel free to complete these steps on a platform or using the statistical tables provided in your course materials!
Transcribed Image Text:### Is there a doctor in the house? A market research firm reported the mean annual earnings of all family practitioners in the United States was $178,258. A random sample of 59 family practitioners in Los Angeles had mean earnings of $\overline{x} = $191,350, with a standard deviation of $42,897. Do the data provide sufficient evidence to conclude that the mean salary for family practitioners in Los Angeles differs from the national average? Use the $\alpha = 0.01$ level of significance and the critical value method with the table. #### (a) State the appropriate null and alternate hypotheses. **Null Hypothesis (H₀):** \[ \mu = 178,258 \] **Alternate Hypothesis (H₁):** \[ \mu \neq 178,258 \] This hypothesis test is a two-tailed test. *Screenshot Provided:* - **H₀:** \(\mu = 178,258\) - **H₁:** \(\mu \neq 178,258\) - Note indicating: This hypothesis test is a two-tailed test. #### Part 2 of 5 Find the critical value(s). Round the answer(s) to three decimal places. If there is more than one critical value, separate them with commas. **Critical value(s):** [To be determined by the student based on the specific standard normal distribution table or t-distribution table used.] ### Steps for Students: 1. **Determine the critical value for a two-tailed test at the α=0.01 significance level**: - Check standard normal (z) distribution table or t-distribution table depending on whether population standard deviation is known and if the sample size permits the use of z-distribution. - For z-distribution, it commonly results in ±2.576 for a two-tailed test at α=0.01. 2. **Illustrative Explanation**: - Use √(n - 1) tables or technology/software for precise critical values if t-distribution is needed. - Insert rounded critical values in the provided space. Feel free to complete these steps on a platform or using the statistical tables provided in your course materials!
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