In: Statistics and Probability
The following data represent the number of people aged 25 to 64 years covered by health insurance (private or government) in 2003. Approximate the mean and standard deviation for age.
I have converted everything in actual millions.
The grouped data information provided, with the corresponding frequencies is shown in the table below:
Classes | Frequency (f) |
25-34 | 20,200,000 |
35-44 | 35,900,000 |
45-54 | 32,700,000 |
55-64 | 29,800,000 |
For each of the grouped classes we need to compute the midpoint (M), by calculating the average between the lower and upper value of the class. Then, the following table is obtained:
Classes | M | f | M · f | M2 · f |
25-34 | 29.5 | 20200000 | 595900000 | 17579050000 |
35-44 | 39.5 | 35900000 | 1418050000 | 56012975000 |
45-54 | 49.5 | 32700000 | 1618650000 | 80123175000 |
55-64 | 59.5 | 29800000 | 1773100000 | 105499450000 |
Sum = | 118600000 | 5405700000 | 259214650000 |
From the table, we compute the sample mean as follows:
Also, the sample variance is calculated as follows:
Therefore, the sample standard deviation s is directly computed by taking the square root from the sample variance.
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