In: Economics
Sample SAT scores for eight males and eight females are listed
Male SAT Scores: 1059 1328 1175 1123 923 1017 1214 1042
Female SAT Scores: 1226 965 841 1053 1056 1393 1312 1222
(a) Find the range, variance, and standard deviation for each data set.
(b) Interpret the results
a) Range: Sort the values from increasing to decreasing order. Subtract the highest value from the smallest value
|
Male SAT Scores: |
Female SAT Scores: |
|
923 |
841 |
|
1017 |
965 |
|
1042 |
1053 |
|
1059 |
1056 |
|
1123 |
1222 |
|
1175 |
1226 |
|
1214 |
1312 |
|
1328 |
1393 |
Male SAT Scores: Range = 1328-923 = 405
Female SAT Scores: Range = 1393-841 = 552
Variance=sum((Xi-Xavg)^2)/n-1
Average of Male SAT Scores = 8881/8= 1110.13
Average of Female SAT Scores = 9068/8= 1133.5
Standard deviation = Sqrt of Variance
|
Male SAT Scores: |
sum((Xi-Xavg)^2) |
Female SAT Scores: |
sum((Xi-Xavg)^2) |
|
923 |
35017.64 |
841 |
85556.25 |
|
1017 |
8673.20 |
965 |
28392.25 |
|
1042 |
4641.70 |
1053 |
6480.25 |
|
1059 |
2614.28 |
1056 |
6006.25 |
|
1123 |
165.64 |
1222 |
7832.25 |
|
1175 |
4208.12 |
1226 |
8556.25 |
|
1214 |
10788.98 |
1312 |
31862.25 |
|
1328 |
47467.34 |
1393 |
67340.25 |
|
sum((Xi-Xavg)^2) |
113576.88 |
242026.00 |
|
|
Var |
16225.27 |
34575.14 |
|
|
SD |
127.3784 |
185.94 |
b) The range, variance and standard deviation is higher for female when compared to male which shows that the female score has more variation and inconsistency when compared to male