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* Our swim team (Duke Aquatics) is split into groups according to speed and age. The "Senior" Group, which I am sampling from, contains the oldest (15+) and fastest swimmers.
Random? No, convenience sampling. [see error analysis]
Normal? No, [see error analysis]
Independent? Yes, there are more than 160 boys and 210 girls so the 10 percent condition is satisfied.
2 Sample Z-Test
2 Sample Confidence Interval
My 2 sample z test for difference in population proportion resulted with a p-value of 0.5844, which is much higher than the standard significance of 0.05. Thus, we fail to reject our null hypothesis and can't conclude our alternative hypothesis. Furthermore, my 2 sample confidence interval for difference in population proportion contains the value of 0, further confirming my prior conclusion. We can conclude through these two significance tests that there is no significant different between the proportion of boys and girls that show up to Duke Aquatics practice.
Our swim coach is always calling us out for poor attendance, especially the girls. To check his claim, I decided to perform a significance test to see whether there is actually a difference between the girls' and the boys' attendance rates.
I recorded the attendance of boys/girls in the Senior Age Group* for a total of 10 practices (both AM and PM). [n=10]
There are a total of 16 males and 21 females in this age group.