Consider the following hypotheses: Ho: μ Ε 128 HA: μ< 128 A sample of 75 observations results in a sample mean of 122. The population standard deviation is known to be 31. (You may find it useful to reference the appropriate table: z table or t table) a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Test statistic a-2. Find the p-value. O p-value < 0.01 O 0.01 s p-value < 0.025 O 0.025 s p-value < 0.05 O 0.05 s p-value < 0.10 O p-value 2 0.10

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**Hypothesis Testing Example**

Consider the following hypotheses:

- \( H_0: \mu \geq 128 \)
- \( H_A: \mu < 128 \)

A sample of 75 observations results in a sample mean of 122. The population standard deviation is known to be 31. *(You may find it useful to reference the appropriate table: [z table](#) or [t table](#))*

**a-1. Calculate the value of the test statistic.** *(Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)*

- **Test statistic** [Input Box]

**a-2. Find the p-value.**

- \( p\text{-value} < 0.01 \)
- \( 0.01 \leq p\text{-value} < 0.025 \)
- \( 0.025 \leq p\text{-value} < 0.05 \)
- \( 0.05 \leq p\text{-value} < 0.10 \)
- \( p\text{-value} \geq 0.10 \)

*Please select the appropriate range for the p-value based on the calculated test statistic.*
Transcribed Image Text:**Hypothesis Testing Example** Consider the following hypotheses: - \( H_0: \mu \geq 128 \) - \( H_A: \mu < 128 \) A sample of 75 observations results in a sample mean of 122. The population standard deviation is known to be 31. *(You may find it useful to reference the appropriate table: [z table](#) or [t table](#))* **a-1. Calculate the value of the test statistic.** *(Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)* - **Test statistic** [Input Box] **a-2. Find the p-value.** - \( p\text{-value} < 0.01 \) - \( 0.01 \leq p\text{-value} < 0.025 \) - \( 0.025 \leq p\text{-value} < 0.05 \) - \( 0.05 \leq p\text{-value} < 0.10 \) - \( p\text{-value} \geq 0.10 \) *Please select the appropriate range for the p-value based on the calculated test statistic.*
**b. Does the above sample evidence enable us to reject the null hypothesis at α = 0.10?**

- ○ Yes since the *p*-value is less than the significance level.
- ○ No since the *p*-value is greater than the significance level.
- ○ No since the *p*-value is less than the significance level.
- ○ Yes since the *p*-value is greater than the significance level.

**c. Does the above sample evidence enable us to reject the null hypothesis at α = 0.01?**

- ○ No since the *p*-value is greater than the significance level.
- ○ No since the *p*-value is less than the significance level.
- ○ Yes since the *p*-value is greater than the significance level.
- ○ Yes since the *p*-value is less than the significance level.

**d. Interpret the results at α = 0.01.**

- ○ We cannot conclude that the population mean is less than 128.
- ○ We conclude that the population mean is less than 128.
- ○ We conclude that the population proportion differs from 128.
- ○ We conclude that the population proportion equals 128.
Transcribed Image Text:**b. Does the above sample evidence enable us to reject the null hypothesis at α = 0.10?** - ○ Yes since the *p*-value is less than the significance level. - ○ No since the *p*-value is greater than the significance level. - ○ No since the *p*-value is less than the significance level. - ○ Yes since the *p*-value is greater than the significance level. **c. Does the above sample evidence enable us to reject the null hypothesis at α = 0.01?** - ○ No since the *p*-value is greater than the significance level. - ○ No since the *p*-value is less than the significance level. - ○ Yes since the *p*-value is greater than the significance level. - ○ Yes since the *p*-value is less than the significance level. **d. Interpret the results at α = 0.01.** - ○ We cannot conclude that the population mean is less than 128. - ○ We conclude that the population mean is less than 128. - ○ We conclude that the population proportion differs from 128. - ○ We conclude that the population proportion equals 128.
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