Problem 4. InfoMart Report
InfoMart is a research firm that collects and analyzes information for business firms, government agencies, non-profit organizations, and consumer clients. InfoMart has just completed a report comparing the demographic features of two cities that have similar size populations. In this question, you will examine some of the summary statistics that InfoMart computed with respect to two demographic variables: monthly household income, and age of the homeowner. These summary statistics are presented in the table below. (Homeowner age for Mountainview is not shown in the table, as it is not required to complete this problem.)
Computed Statistic |
Mountainview: |
Rivercity: |
Rivercity: |
Mean |
4,300 |
4,300 |
45 |
Minimum |
0 |
0 |
20 |
Maximum |
10,200 |
10,200 |
70 |
First Quartile (Q1) |
1,500 |
4,000 |
25 |
Second Quartile (Q2) |
2,000 |
4,500 |
50 |
Third Quartile (Q3) |
8,000 |
4,800 |
55 |
Standard Deviation |
3,750 |
100 |
20 |
Figure 1. InfoMart data.
a)
Mean = (Minimum + 2 * Median + Maximum)/4
So,
Median = (4 Mean – Minimum – Maximum)/2
For Mountainview,
Median = (4*4300-0-10200)/2 = 3500
For Rivercity,
Median = (4*4300-0-10200)/2 = 3500
b)
Measures of Variability are Range, Interquartile Range, Variance and Std Deviation
Where Range = Maximum – Minimum
Interquartile Range = Third Quartile – First Quartile.
So,
The most commonly use statistic is Range.
Since the value of Household income is much larger than Homeowner Age, hence it has more degree of variability.
c)
Middle 50% is the value of Interquartile Range ie IQR
Hence, for Mountainview
IQR = Q3 – Q1 = 8000 – 1500 = 6500
Problem 4. InfoMart Report InfoMart is a research firm that collects and analyzes information for business...