The National Sporting Goods Association (NSGA) conducted a survey of the ages of people that purchased athletic footwear in 2009. The ages are summarized in the following relative frequency distribution. Assume the survey was based on 100 individuals.
Age of Purchaser | Percent |
Under 14 years old | 20 |
14 to 17 years old | 9 |
18 to 24 years old | 10 |
25 to 34 years old | 12 |
35 to 44 years old | 13 |
46 to 64 years old | 25 |
65 years old and over |
11 |
a. | Calculate the average age of this distribution. Use 10 as the midpoint of the first class and 75 as the midpoint of the last class. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
Average Age |
b. | Calculate the sample standard deviation. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) |
Standard Deviation |
Following table shows the calculations:
Age of purchaser | Mid Point, X | Percent, p | Frequency, f=( p*100)/100 | xf | f(x-mean)^2 |
Under 14 years old | 10 | 20 | 20 | 200 | 13566.8405 |
14 to 17 years old | 15.5 | 9 | 9 | 139.5 | 3798.873225 |
18 to 24 years old | 21 | 10 | 10 | 210 | 2263.52025 |
25 to 34 years old | 29.5 | 12 | 12 | 354 | 514.0443 |
35 to 44 years old | 39.5 | 13 | 13 | 513.5 | 155.181325 |
45 to 64 years old | 54.5 | 25 | 25 | 1362.5 | 8514.675625 |
65 years old and over | 75 | 11 | 11 | 825 | 16692.41228 |
Total | 1 | 100 | 3604.5 | 45505.5475 |
(a)
The sample mean is
(b)
The sample standard deviation is
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