In: Statistics and Probability
A high school runs a survey asking students if they participate in sports. The results are found below. Run an independence test for the data at α=0.01.
Freshmen Sophomores Juniors Seniors
Yes 75 88 55 42
No 30 28 38 40
Enter the test statistic - round to 4 decimal places.
hypothesis:-
participation in sports is independent of grade level.
participation in sports is dependent of grade level.
here we will do chi square test for independence.
the necessary calculation table:-
freshmen | sophomores | juniors | seniors | row total | ||
yes | observed frequency(Oi) | 75 | 88 | 55 | 42 | 260 |
expected frequency(Ei) |
(105*260)/396 = 68.9394 |
(116*260)/396 = 76.1616 |
(93*260)/396 =61.0606 |
(82*260)/396 = 53.8384 |
||
0.53280 | 1.84013 | 0.60155 | 2.60311 | |||
all | observed frequency(Oi) | 30 | 28 | 38 | 40 | 136 |
expected frequency(Ei) |
(105*136)/396 = 36.0606 |
(116*136)/396 = 39.8384 |
(93*136)/396 =31.9394 |
(82*136)/396 =28.1616 |
||
1.01859 | 3.51790 | 1.15002 | 4.97654 | |||
column total | 105 | 116 | 93 | 82 | 396 |
the test statistic be:-
= (0.53280+1.84013+0.60155+2.60311+1.01859+3.51790+1.15002+4.97654)
degrees of freedom = (4-1)*(2-1) = 3
p value = 0.0010
[ in any blank cell of excel type =CHIDIST(16.2406,3) press enter...you will get 0.001012 ]
decision:-
p value = 0.0010 <0.01 (alpha)
so, we reject the null hypothesis.
conclusion:-
we conclude that participation in sports is dependent of the grade level at 0.01 level of significance.
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