Answer:
It can be concluded that participation in sports is dependent on grade level.
Explanation:
In this case a Chi-square independence test for the data is to be performed at α = 0.01.
The hypothesis can be defined as follows:
H₀: The participation in sports is independent of grade level.
Hₐ: The participation in sports is dependent of grade level.
The data provided is:
Freshmen Sophomores Juniors Seniors
Yes 75 88 55 42
No 30 28 38 40
The formula to compute the expected frequencies is:
![E_(i)=\frac{i^(th)\ \text{Row Total}\ *\ i^(th)\ \text{Column Total}}{N}](https://img.qammunity.org/2021/formulas/mathematics/college/1hgr2n4blgoxwb0cm8a2tc9nbkvgd63xfo.png)
The Chi-square statistic is:
![\chi^(2)=\sum {((O_(i)-E_(i))^(2))/(E_(i))}](https://img.qammunity.org/2021/formulas/mathematics/college/i2p5jqk6o6860er4phehcmdk0aea2h0nmf.png)
Consider the Excel file attached below.
The value of Chi-square statistic is 16.244.
The degrees of freedom of the test are:
![\text{df}=(r-1)(c-1)](https://img.qammunity.org/2021/formulas/mathematics/college/hq18f2niwkm7p6l09dx1yxvpzcgkl7ioak.png)
![=(4-1)(2-1)\\=3* 1\\=3](https://img.qammunity.org/2021/formulas/mathematics/college/w7abb38yhu1u5j9n9hjboxy25a4x0weev6.png)
Compute the p-value of the test as follows:
![p-value=P(\chi^(2)_(df)<\chi^(2))](https://img.qammunity.org/2021/formulas/mathematics/college/dkdo8yo4wixtjnqtnokv3bfc1eifflqk2p.png)
![=P(\chi^(2)_(3)<16.244)\\=0.001](https://img.qammunity.org/2021/formulas/mathematics/college/gxqat26f2sob4rvheau8lx42bva8hzo577.png)
*Use a Chi-square table.
p-value = 0.001 < α = 0.01
The null hypothesis will be rejected at 1% level of significance.
Thus, it can be concluded that participation in sports is dependent on grade level.