Health care issues are receiving much attention in both academic and political arenas. A sociologist recently conducted a survey of senior citizens whose net worth is too high to qualify for government health care but who have no private health insurance. The ages of 15 uninsured senior citizens were as follows: 71, 76, 69, 79, 89, 77, 64, 92, 68, 93, 72, 95, 79, 65, 84 Find and interpret Q1 of the data. Calculate the variance of the ages of the uninsured senior citizens correct to the
nearest hundredth of a year squared.

Respuesta :

Answer:

First quartile = 69

Variance =  107.46

Step-by-step explanation:

We are given the following data-set in the question:

71, 76, 69, 79, 89, 77, 64, 92, 68, 93, 72, 95, 79, 65, 84

  • The first quartile (or lower quartile or 25th percentile) is the median of the bottom half of the numbers.
  • The first quartile, or 25th percentile is the number for which 25% of values in the data set are smaller it.

The sorted data is:

64, 65, 68, 69, 71, 72, 76, 77, 79, 79, 84, 89, 92,93, 95  

[tex]Median:\\\text{If n is odd, then}\\\\Median = \displaystyle\frac{n+1}{2}th ~term \\\\\text{If n is even, then}\\\\Median = \displaystyle\frac{\frac{n}{2}th~term + (\frac{n}{2}+1)th~term}{2}[/tex]

Median or second quartile =

[tex]\displaystyle\frac{15+1}{2} = 8^{th}\text{ term} = 77[/tex]

Bottom half:

64, 65, 68, 69, 71, 72, 76

First quartile is the mid value of these number.

First quartile = 69

Formula:

[tex]\text{Variation} = \displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}[/tex]  

where [tex]x_i[/tex] are data points, [tex]\bar{x}[/tex] is the mean and n is the number of observations.

Sum of squares of differences = 1504.4

[tex]\text{Variance} = \frac{1504.4}{14} = 107.46[/tex]