A report included the following information on the heights (in.) for non-Hispanic white females. Sample Sample Std. Error Size Mean Mean 64.5 0.09 62.8 0.11 Age 20-39 861 939 60 and older (a) Calculate a confidence interval at confidence level approximately 95% for the difference between population mean height for the younger women and that for the older women. (Use #20-39 - #60 and older.) Interpret the interval. We are 95% confident that the true average height of younger women is less than that of older women by an amount within the confidence interval. We cannot draw a conclusion from the given information. We are 95% confident that the true average height of younger women is greater than that of older women by an amount outside the confidence interval. We are 95% confident that the true average height of younger women is greater than that of older women by an amount within the confidence interval. (b) Let #₁ denote the population mean height for those aged 20-39 and 4₂ denote the population mean height for those aged 60 and older. Interpret the hypotheses Ho: #1 #2 = 1 and Ha: #1 - 2 > 1. The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is 1 inch higher than for older women. The null hypothesis states that the true mean height for older women is 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women. The null hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is 1 inch higher than for younger women. The null hypothesis states that the true mean height for younger women is 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. Carry out a test of these hypotheses at significance level 0.001. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) P-value = (c) Based on the P-value calculated in (b) would you reject the null hypothesis at any reasonable significance level? Explain your reasoning. Reject Ho. The data does not suggest that the difference in the true average heights exceeds 1. Fail to reject Ho. The data does not suggest that the difference in the true average heights exceeds 1. Reject Ho. The data suggests that the difference in the true average heights exceeds 1. Fail to reject Ho. The data suggests that the difference in the true average heights exceeds 1. (d) What hypotheses would be appropriate if #₁ referred to the older age group, 2 to the younger age group, and you wanted to see if there was compelling evidence for concluding that the population mean height for younger women exceeded that for older women by more than 1 in.? Ho: #1 - #2 = 1 Ha: #1 #21 Ho: #1 #₂=-1 Ha: H1-H2> -1 Ho: #1 #2 = -1 Ha: H1-H₂ < -1 Ho: #1 - #2 = 1 Ha: #1 - #2 <1

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## Statistical Analysis of Heights for Non-Hispanic White Females

### Heights Data Summary
A report included the following information on the heights (in inches) for non-Hispanic white females.

| Age           | Sample Size | Sample Mean | Std. Error Mean |
|---------------|-------------|-------------|-----------------|
| 20–39         | 861         | 64.5        | 0.09            |
| 60 and older  | 939         | 62.8        | 0.11            |

### Analysis Details

#### (a) Confidence Interval Calculation

Calculate a 95% confidence interval for the difference between the population mean height for younger women (20–39) and older women (60 and older).

**Confidence Interval: ( ___ , ___ )**

**Interpret the interval:**

- ❏ We are 95% confident that the true average height of younger women is less than that of older women by an amount within the confidence interval.
- ❏ We cannot draw a conclusion from the given information.
- ❏ We are 95% confident that the true average height of younger women is greater than that of older women by an amount outside the confidence interval.
- ❏ We are 95% confident that the true average height of younger women is greater than that of older women by an amount within the confidence interval.

#### (b) Hypotheses Interpretation

Let \( \mu_1 \) denote the population mean height for ages 20–39 and \( \mu_2 \) for those aged 60 and older. Interpret the hypotheses \( H_0: \mu_1 - \mu_2 = 1 \) and \( H_a: \mu_1 - \mu_2 > 1 \).

- ❏ The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is 1 inch higher than for older women.
- ❏ The null hypothesis states that the true mean height for older women is 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women.
- ❏ The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger
Transcribed Image Text:## Statistical Analysis of Heights for Non-Hispanic White Females ### Heights Data Summary A report included the following information on the heights (in inches) for non-Hispanic white females. | Age | Sample Size | Sample Mean | Std. Error Mean | |---------------|-------------|-------------|-----------------| | 20–39 | 861 | 64.5 | 0.09 | | 60 and older | 939 | 62.8 | 0.11 | ### Analysis Details #### (a) Confidence Interval Calculation Calculate a 95% confidence interval for the difference between the population mean height for younger women (20–39) and older women (60 and older). **Confidence Interval: ( ___ , ___ )** **Interpret the interval:** - ❏ We are 95% confident that the true average height of younger women is less than that of older women by an amount within the confidence interval. - ❏ We cannot draw a conclusion from the given information. - ❏ We are 95% confident that the true average height of younger women is greater than that of older women by an amount outside the confidence interval. - ❏ We are 95% confident that the true average height of younger women is greater than that of older women by an amount within the confidence interval. #### (b) Hypotheses Interpretation Let \( \mu_1 \) denote the population mean height for ages 20–39 and \( \mu_2 \) for those aged 60 and older. Interpret the hypotheses \( H_0: \mu_1 - \mu_2 = 1 \) and \( H_a: \mu_1 - \mu_2 > 1 \). - ❏ The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is 1 inch higher than for older women. - ❏ The null hypothesis states that the true mean height for older women is 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women. - ❏ The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger
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