In: Math
Researchers studied a random sample of high school students who participated in interscholastic athletics to learn about the risk of lower-extremity injuries (anywhere between hip and toe) for interscholastic athletes. Of 998 participants in girls' soccer, 77 experienced lower-extremity injuries. Of 1660 participants in boys' soccer, 159 experienced lower-extremity injuries.
Write a two-way table of observed counts for gender and whether a participant had a lower-extremity injury or not.
Gender | Had Injury | No Injury | Total |
Girls | |||
Boys | |||
Total |
(b) Determine a two-way table of expected counts for these data. (Round the answers to one decimal place where it is needed.)
Gender | Had Injury | No Injury | Total |
Girls | |||
Boys | |||
Total |
(c) Show calculations verifying that the value of the chi-square statistic is 2.67. Chi-square = (77-88.6)2/ + (921- )2/909.4 + ( -147.4)2/147.4 + (1501- )2/ = 1.52 + 0.15 + + 0.09 = 2.67
In this problem the given data are -
I) Out of 998 girl participants 77 girls became injured.
So, number of injured girls = 77 and number of not injured girls = 921
II) Out of 1660 boys participants 159 became injured
So, number of injured boys participants = 159 and number of not injured boys participants =1501
Therefore our Chi-square 2x2 contingency table of observed counts for gender and whether a participant had a lower-extremity injury or not becomes
Table 1
Gender | Had Injury | No Injury | Total |
Girls | 77 | 921 | 998 |
Boys | 159 | 1501 | 1660 |
Total | 236 | 2422 | 2658 |
Table 1 is the table of observed values.
Now we construct Table 2 of expected values.
Table 2
Gender | Had Injury | No Injury | Total |
Girls | 88.6 | 909.4 | 998 |
Boys | 147.4 | 1512.6 | 1660 |
Total | 236 | 2422 | 2658 |
We have made this table by making a little bit changes in the previous table.
Now the formula of calculating Chi-square statistic is =
Now the value of Chi-Square statistic is =
=1.52 + 0.15 + 0.91 + 0.09
=2.67
So the value of Chi-Square statistic is 2.67.