A data set 106 body temperature of healthy adult humans for which, for x =98.7F and s = 0.72F
The given information about the data set is the mean (x) and standard deviation (s) of the body temperature of healthy adult humans. The mean (x) is 98.7°F and the standard deviation (s) is 0.72°F.
To better understand the data set, we can calculate several important measures:
1. Variance: The variance (s^2) measures the spread of the data. It is calculated by squaring the standard deviation.
Variance = s^2 = 0.72^2 = 0.5184°F^2
2. Median: The median is the middle value of a data set when it is arranged in ascending or descending order. However, since the data set is not provided, we are unable to calculate the median.
3. Range: The range is the difference between the maximum and minimum values in a data set. Since the data set is not provided, we cannot calculate the range.
4. Confidence Interval: The confidence interval indicates the range within which the true population mean is expected to fall. Assuming the data set is normally distributed, we can calculate the 95% confidence interval using the formula:
Confidence Interval = x ± (1.96 * s / √n)
Here, n represents the sample size. Since the sample size is not provided, we cannot calculate the confidence interval.
By analyzing the given information, we can determine the mean and standard deviation of the body temperature for the provided data set. However, without the data points or sample size, we are unable to calculate other important measures such as the median, range, or confidence interval.