In: Statistics and Probability
Create an ogive for the data in table #2.2.10. Describe any findings you can from the graph.
Table #2.2.10: Data of Median Income for Females
$31,862 |
$40,550 |
$36,048 |
$30,752 |
$41,817 |
$40,236 |
$47,476 |
$40,500 |
$60,332 |
$33,823 |
$35,438 |
$37,242 |
$31,238 |
$39,150 |
$34,023 |
$33,745 |
$33,269 |
$32,684 |
$31,844 |
$34,599 |
$48,748 |
$46,185 |
$36,931 |
$40,416 |
$29,548 |
$33,865 |
$31,067 |
$33,424 |
$35,484 |
$41,021 |
$47,155 |
$32,316 |
$42,113 |
$33,459 |
$32,462 |
$35,746 |
$31,274 |
$36,027 |
$37,089 |
$22,117 |
$41,412 |
$31,330 |
$31,329 |
$33,184 |
$35,301 |
$32,843 |
$38,177 |
$40,969 |
$40,993 |
$29,688 |
$35,890 |
$34,381 |
Using Excel<data<megastat<frequency distributions<quantitative<ogive
Here is the output:
upper | lower | frequency distribution | relative frequency | cummulative frequency | cummulative frequency percent |
20000 | 25000 | 1 | 0.019231 | 1 | 0.019231 |
25000 | 29000 | 2 | 0.038462 | 3 | 0.057692 |
30000 | 35000 | 20 | 0.384615 | 23 | 0.442308 |
35000 | 39000 | 14 | 0.269231 | 37 | 0.711538 |
40000 | 45000 | 10 | 0.192308 | 47 | 0.903846 |
45000 | 49000 | 4 | 0.076923 | 51 | 0.980769 |
50000 | 55000 | 0 | 0 | 51 | 0.980769 |
55000 | 59000 | 0 | 0 | 51 | 0.980769 |
60000 | 65000 | 1 | 0.019231 | 52 | 1 |
52 | 316 |
Ogive
Most women make an income between 50000 and 60000.
Please do the comment for any doubt or clarification. Thnak You!