Heights of females follow a normal distribution with mean 64.5 inches in the United States. (a) You take a sample of 15 female students at UNC and observe the sample mean of heights to be 65.73 inches and the sample standard deviation to be 2.5 inches. Is this strong enough evidence that the average height of female students at UNC is higher than national average? (I) State the hypothesis. Ο H0: μ=64.5, Ha: μ+ 64.5 Ο Ho: μΕ64.5, Ha: μ< 64.5 Ο Hρ: μ-64.5, Ha: μ > 64.5 (II) Compute the test statistic. (Answer to two decimal places) t = (III) Compute the p-value. (Answer to four decimals) (IV) State your conclusion at the 5% significance level. O Reject Ho O Fail to reject Ho

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### Statistical Testing: Heights of Female Students

#### Background
Heights of females follow a normal distribution with a mean (μ) of 64.5 inches in the United States.

#### Problem Statement
(a) A sample of 15 female students at UNC has a mean height of 65.73 inches and a sample standard deviation of 2.5 inches. Is this strong evidence that the average height of female students at UNC is higher than the national average?

### Hypothesis Testing Steps:

#### I. State the Hypothesis
Select the appropriate hypothesis:

- \( H_0: \mu = 64.5, H_a: \mu \neq 64.5 \)
- \( H_0: \mu = 64.5, H_a: \mu < 64.5 \)
- \( H_0: \mu = 64.5, H_a: \mu > 64.5 \)

#### II. Compute the Test Statistic
Calculate the test statistic (t) and provide the answer to two decimal places:
\[ t = \] [Calculated Value]

#### III. Compute the p-Value
Determine the p-value to four decimal places:
\[ \text{p-value} = \] [Calculated Value]

#### IV. State Your Conclusion at the 5% Significance Level
Based on your analysis, decide whether to reject or fail to reject the null hypothesis:

- \( \bigcirc \) Reject \( H_0 \)
- \( \bigcirc \) Fail to reject \( H_0 \)

### Explanation of Concepts:

1. **Hypothesis Selection**: Choose the hypothesis based on whether you need to prove the average height is different or greater than the national average.
2. **Test Statistic**: The t-score measures how far the sample mean deviates from the population mean in units of standard error.
3. **p-Value**: The probability that the observed results occurred by chance. A p-value below 0.05 typically means you reject the null hypothesis.
4. **Conclusion**: At a 5% significance level, decide if the evidence is strong enough to claim the average height at UNC is greater than the national average.
Transcribed Image Text:### Statistical Testing: Heights of Female Students #### Background Heights of females follow a normal distribution with a mean (μ) of 64.5 inches in the United States. #### Problem Statement (a) A sample of 15 female students at UNC has a mean height of 65.73 inches and a sample standard deviation of 2.5 inches. Is this strong evidence that the average height of female students at UNC is higher than the national average? ### Hypothesis Testing Steps: #### I. State the Hypothesis Select the appropriate hypothesis: - \( H_0: \mu = 64.5, H_a: \mu \neq 64.5 \) - \( H_0: \mu = 64.5, H_a: \mu < 64.5 \) - \( H_0: \mu = 64.5, H_a: \mu > 64.5 \) #### II. Compute the Test Statistic Calculate the test statistic (t) and provide the answer to two decimal places: \[ t = \] [Calculated Value] #### III. Compute the p-Value Determine the p-value to four decimal places: \[ \text{p-value} = \] [Calculated Value] #### IV. State Your Conclusion at the 5% Significance Level Based on your analysis, decide whether to reject or fail to reject the null hypothesis: - \( \bigcirc \) Reject \( H_0 \) - \( \bigcirc \) Fail to reject \( H_0 \) ### Explanation of Concepts: 1. **Hypothesis Selection**: Choose the hypothesis based on whether you need to prove the average height is different or greater than the national average. 2. **Test Statistic**: The t-score measures how far the sample mean deviates from the population mean in units of standard error. 3. **p-Value**: The probability that the observed results occurred by chance. A p-value below 0.05 typically means you reject the null hypothesis. 4. **Conclusion**: At a 5% significance level, decide if the evidence is strong enough to claim the average height at UNC is greater than the national average.
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