Answer:
Step-by-step
The null and the alternative hypothesis can be define as follows,
Null Hypothesis; There is no significance difference between the proportions of non participating athletes in 1999 and 2000
![H_0:(p_1-p_2)\\eq 0](https://img.qammunity.org/2021/formulas/mathematics/college/msip01j2suja89d7mazpdblv0vzid58gja.png)
Alternative Hypothesis: The proportion of non participating athletes in 2000 will be more than the proportion of non participating athletes in 1999
![H_1:(p_1-p_2)<0](https://img.qammunity.org/2021/formulas/mathematics/college/lleo7gzx0lt746xj9swva05yjm70zpb37p.png)
The proportion of nonparticipating athletes in 1999 is given by
![\hat p_1 = (x_1)/(n_1) \\\\=(159)/(830) =0.1916](https://img.qammunity.org/2021/formulas/mathematics/college/p3zjqnoh2jmk69va4pxp1c30xj9l7ehe2k.png)
The proportion of nonparticipating athletes in 2000 is given by
![\hat p_2 =(x_2)/(n_1) \\\\=(133)/(825) =0.1612](https://img.qammunity.org/2021/formulas/mathematics/college/2yj25pq10jj7oa0lgicc5nouyhz3azmwt5.png)
The pooled proportion can be calculated using the following formula
![\hat p = (x_1+x_2)/(n_1+n_2) \\\\=(159+133)/(830+825) =0.1764](https://img.qammunity.org/2021/formulas/mathematics/college/60wgp3803nzr5n9kobefiq1wbcyl72y2le.png)
under the null hypothesis, the test statistics can be calculated as follows
![Z=\frac{\hat p_1 - \hat p_2}{\sqrt{\hat p \hat q((1)/(n_1)+(1)/(n_2) ) } }](https://img.qammunity.org/2021/formulas/mathematics/college/hbrwf4ggnku8wjvomndj3kh3ebw8jdxkfa.png)
![=\frac{0.1916-0.1612}{\sqrt{(0.1764)(0.8236)((1)/(830) +(1)/(825) )} } \\\\=1.6257](https://img.qammunity.org/2021/formulas/mathematics/college/lisk2x7g5xelvrjq0fkagj74fyxeky0oxo.png)
Determine the P-value using the following formula
P-value = Normdist(1.6257)
=0.947993
Here, it can be observed that the P-value is greater than the level of the significance,
Hence, the null hypothesis fails to be rejected
Therefore it can be concluded that there is insufficient evidence to support that the proportions of non participating athletes in 2000 will be more than the proportions of non participating athletes in 1999