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Question: 4) Find the range, mean, median, mode, and standard deviation of the following data set. 54, 46,…
- Find the range, mean, median, mode, and standard deviation of the following data set.
54, 46, 37, 40, 48, 48, 39
data value | deviation from mean | deviation squared |
---|---|---|
\( x \) | \( x - \bar{x} \) | \( (x - \bar{x})^2 \) |
\[ \sum (x - \bar{x})^2 = \]
\[ s = \sqrt{\frac{\sum (x - \bar{x})^2}{n - 1}} \]
Solution
To find the range, mean, median, mode, and standard deviation for the data set \(54, 46, 37, 40, 48, 48, 39\), we will solve step by step: 1. Range The range is the difference between the maximum and minimum values. Maximum value = 54 Minimum value = 37 \[ \text{Range} = 54 - 37 = 17 \] 2. Mean The mean is the average of the data. \[ \text{Mean} = \frac{54 + 46 + 37 + 40 + 48 + 48 + 39}{7} = \frac{312}{7} \approx 44.57 \] 3. Median The median is the middle value when the numbers are arranged in order. Ordered data set: 37, 39, 40, 46, 48, 48, 54 Median = 46 4. Mode The mode is the number that appears most frequently. Mode = 48 5. Standard Deviation To find the standard deviation, use the formula provided. First, calculate the deviations from the mean and their squares: \[ \begin{array}{ccc} \text{Data value} & \text{Deviation from Mean} & \text{Deviation squared} \\ 54 & 54 - 44.57 \approx 9.43 & (9.43)^2 \approx 88.87 \\ 46 & 46 - 44.57 \approx 1.43 & (1.43)^2 \approx 2.05 \\ 37 & 37 - 44.57 \approx -7.57 & (-7.57)^2 \approx 57.31 \\ 40 & 40 - 44.57 \approx -4.57 & (-4.57)^2 \approx 20.88 \\ 48 & 48 - 44.57 \approx 3.43 & (3.43)^2 \approx 11.76 \\ 48 & 48 - 44.57 \approx 3.43 & (3.43)^2 \approx 11.76 \\ 39 & 39 - 44.57 \approx -5.57 & (-5.57)^2 \approx 31.02 \\ \end{array} \] Sum of deviation squared: \[ \sum (x - \bar{x})^2 = 88.87 + 2.05 + 57.31 + 20.88 + 11.76 + 11.76 + 31.02 = 223.65 \] Using the formula for standard deviation: \[ s = \sqrt{\frac{223.65}{6}} \approx \sqrt{37.275} \approx 6.10 \] Thus, the range is 17, the mean is approximately 44.57, the median is 46, the mode is 48, and the standard deviation is approximately 6.10.