In: Statistics and Probability
Annual Income | SAT Scores | |||
Men | Women | Men | Women | |
$83,173 | $78,980 | 600 | 960 | |
$87,335 | $73,791 | 1050 | 530 | |
$75,573 | $62,553 | 820 | 710 | |
$88,051 | $75,179 | 730 | 680 | |
$75,884 | $58,778 | 530 | 790 | |
$61,595 | $110,787 | 680 | 1140 | |
$68,993 | $64,852 | 860 | 940 | |
$83,185 | $79,700 | 1050 | 420 | |
$87,259 | $55,352 | 910 | 820 | |
$87,418 | $63,386 | 590 | 880 | |
$108,114 | $78,803 | 960 | 890 | |
$97,643 | $92,505 | 1040 | 1300 | |
$71,920 | $94,666 | 840 | 1030 | |
$71,516 | $69,928 | 940 | 740 | |
$79,982 | $75,812 | 760 | 770 | |
$84,823 | $108,581 | 430 | 800 | |
$80,256 | $100,172 | 900 | 600 | |
$69,839 | $79,343 | 1090 | 1280 | |
$71,071 | $72,949 | 850 | 850 | |
$79,194 | $76,487 | 780 | 1000 | |
$58,381 | $112,624 | 710 | 710 | |
$78,821 | $60,996 | 820 | 710 | |
$111,731 | $47,339 | 890 | 920 | |
$79,248 | $53,329 | 840 | 820 | |
$84,120 | $82,489 | 920 | 880 | |
$94,918 | $82,676 | 590 | 1040 | |
$89,201 | $96,579 | 500 | 800 | |
$82,576 | $61,109 | 980 | 950 | |
$77,183 | $88,520 | 740 | 680 | |
$71,012 | $88,843 | 640 | 1170 | |
$70,972 | $69,788 | 780 | 610 | |
$90,310 | $43,336 | 700 | 950 | |
$109,794 | $125,325 | 980 | 950 | |
$82,200 | $79,454 | 950 | 980 | |
$71,855 | $69,205 | 810 | 790 | |
$95,012 | $81,778 | 810 | 960 | |
$63,326 | $80,999 | 860 | 1050 | |
$74,356 | $91,826 | 900 | 790 | |
$68,689 | $97,986 | 800 | 660 | |
$84,632 | $63,485 | 800 | 850 | |
$93,572 | $71,393 | 1080 | 510 | |
$84,828 | $80,986 | 920 | 1120 | |
$87,006 | $101,375 | 610 | 930 | |
$94,446 | $76,110 | 670 | 780 | |
$68,206 | $92,437 | 850 | 1330 | |
$111,346 | $103,105 | 880 | 1070 | |
$89,986 | $73,283 | 590 | 1000 | |
$59,885 | $84,225 | 710 | 750 | |
$74,106 | $75,993 | 850 | 670 | |
$101,167 | $100,103 | 840 | 1000 | |
$87,155 | $75,598 | 850 | 650 | |
$80,721 | $98,321 | 1000 | 820 | |
$71,357 | $56,366 | 1140 | 940 | |
$62,350 | $63,702 | 640 | 630 | |
$74,943 | $64,041 | 840 | 930 | |
$92,021 | $78,423 | 680 | 850 | |
$96,529 | $61,274 | 880 | 970 | |
$64,590 | $73,354 | 970 | 550 | |
$83,394 | $77,211 | 1000 | 410 | |
$92,443 | $73,844 | 740 | 830 | |
$84,097 | $82,373 | 810 | 690 | |
$95,639 | $83,032 | 760 | 650 | |
$99,955 | $72,780 | 960 | 700 | |
$82,655 | $70,057 | 970 | 1060 | |
$71,107 | $85,709 | 750 | 1110 | |
$86,014 | $51,100 | 920 | 640 | |
$61,463 | $70,567 | 1110 | 640 | |
$86,042 | $69,850 | 610 | 1400 | |
$77,772 | $62,246 | 810 | 860 | |
$82,764 | $83,369 | 920 | 670 | |
$81,081 | $86,006 | 810 | 760 | |
$87,314 | $74,516 | 830 | 900 | |
$119,195 | $101,714 | 1030 | 790 | |
$86,846 | $72,088 | 830 | 1140 | |
$90,834 | $90,146 | 920 | 760 | |
$95,561 | $118,558 | 770 | 810 | |
$84,543 | $76,717 | 1060 | 790 | |
$56,569 | $48,808 | 850 | 1170 | |
$97,319 | $25,681 | 590 | 780 | |
$85,499 | $74,953 | 880 | 760 | |
$88,545 | $82,735 | 850 | 830 | |
$76,991 | $75,645 | 720 | 1020 | |
$83,179 | $74,220 | 890 | 820 | |
$73,829 | $77,590 | 730 | 970 | |
$92,728 | $59,025 | 880 | 520 | |
$58,302 | $71,728 | 760 | 920 | |
$74,035 | $76,149 | 920 | 880 | |
$85,540 | $92,157 | 740 | 400 | |
$98,551 | $90,949 | 850 | 640 | |
$66,331 | 920 | |||
$95,954 | 940 | |||
$72,660 | 750 | |||
$95,005 | 950 | |||
$88,832 | 780 | |||
$88,460 | 1200 | |||
$82,142 | 810 | |||
$88,822 | 710 | |||
$52,018 | 890 | |||
$83,809 | 1020 | |||
$67,248 | 660 | |||
$93,338 | 470 | |||
$95,657 | 880 | |||
$86,171 | 1110 |
Using the male-female wages and SAT scores shown above, complete the following:
1. Calculate the 5-number summary for each of the 4 columns of data, construct a box plot for each of them as well.
2. Using the box plots, can you draw any conclusions about the relative pay of men and women?
3. Is there a correlation between annual income and SAT scores for each sex? Does the value of the correlation tell you anything about the relationship between annual income and SAT scores?
Result:
Using the male-female wages and SAT scores shown above, complete the following:
1. Calculate the 5-number summary for each of the 4 columns of data, construct a box plot for each of them as well.
Descriptive statistics |
||||
Men INCOME |
Women Income |
Men SAT |
Women SAT |
|
n |
103 |
89 |
103 |
89 |
mean |
82,734.25 |
77,886.54 |
832.91 |
845.17 |
sample standard deviation |
12,766.30 |
16,778.17 |
150.77 |
202.56 |
minimum |
52018 |
25681 |
430 |
400 |
maximum |
119195 |
125325 |
1200 |
1400 |
1st quartile |
73,932.00 |
69,850.00 |
740.00 |
710.00 |
median |
83,809.00 |
76,149.00 |
840.00 |
820.00 |
3rd quartile |
90,148.00 |
86,006.00 |
920.00 |
960.00 |
interquartile range |
16,216.00 |
16,156.00 |
180.00 |
250.00 |
range |
67177 |
99644 |
770 |
1000 |
2. Using the box plots, can you draw any conclusions about the relative pay of men and women?
From the box plot we infer that relative pay of men are more than women. ( median of men are larger than median of women)
3. Is there a correlation between annual income and SAT scores for each sex? Does the value of the correlation tell you anything about the relationship between annual income and SAT scores?
Correlation Matrix |
|||||
Men INCOME |
Women Income |
Men SAT |
Women SAT |
||
Men INCOME |
1.000 |
||||
Women Income |
.096 |
1.000 |
|||
Men SAT |
.073 |
-.042 |
1.000 |
||
Women SAT |
-.037 |
.061 |
-.138 |
1.000 |
|
89 |
sample size |
||||
± .208 |
critical value .05 (two-tail) |
||||
± .272 |
critical value .01 (two-tail) |
correlation between annual income and SAT scores for male is 0.073.
correlation between annual income and SAT scores for female is 0.061.
There is positive correlation for both.
But the very low correlation value shows that there is no association between annual income and SAT scores for both sex.