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
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
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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 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.*](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb2cb6b53-8bc1-4971-ac49-59265633c58d%2Fcbd3a44d-8cd6-44eb-a3be-fc67ae88196a%2Fgvtfm8_processed.png&w=3840&q=75)
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.*

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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