Refer to the accompanying data set and construct a 9595​% confidence interval estimate of the mean pulse rate of adult​ females; then do the same for adult males. Compare the results.

To construct a 95% confidence interval for the mean pulse rate of adult females and males, we follow these steps:

### Step 1: Gather Required Information
From the dataset, for both adult females and males, we need the following:
1. **Sample mean (\( \bar{x} \))**: The average pulse rate.
2. **Sample standard deviation (\( s \))**: The variability in the pulse rate.
3. **Sample size (\( n \))**: The number of individuals in the sample.

### Step 2: Formula for Confidence Interval
The formula for the 95% confidence interval for the mean is:

\[
CI = \bar{x} \pm t \left( \frac{s}{\sqrt{n}} \right)
\]

Where:
- \( \bar{x} \) is the sample mean.
- \( s \) is the sample standard deviation.
- \( n \) is the sample size.
- \( t \) is the t-score from the t-distribution corresponding to a 95% confidence level with \( n-1 \) degrees of freedom.

### Step 3: Constructing the Confidence Intervals
1. **For Adult Females:**
   - Use the sample mean, sample standard deviation, and sample size from the data set of adult females.
   - Calculate the t-value for 95% confidence using the degrees of freedom (df = \( n - 1 \)).
   - Plug the values into the formula and compute the confidence interval.

2. **For Adult Males:**
   - Repeat the same steps for adult males' data.

### Step 4: Comparison
Once we have both confidence intervals, we can compare them by looking at the width of the intervals and the central values (sample means) to see if they overlap or differ significantly.

Could you please provide the dataset or summary statistics for the adult females and males, so I can proceed with the calculations?

Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results.

Construct a 95% confidence interval estimate for the mean pulse rate of adult females and males. Learn how to use sample data, t-scores, and standard deviations to compute confidence intervals and compare results between genders.

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