The Fish and Wildlife Service wanted to determine if the average egg size (diame
ID: 3440220 • Letter: T
Question
The Fish and Wildlife Service wanted to determine if the average egg size (diameter in mm) of bluebirds would be affected if they were exposed to industrial waste. A sample of 13 mating birds was randomly chosen to be exposed to such waste, and their average egg sizes were: 110, 125, 114, 112, 130, 100, 120, 115, 117, 112, 111, 118, and 110. Another 13 more were chosen that were not exposed to such waste and their average egg sizes were: 136, 105, 120, 140, 123, 127, 120, 119, 111, 116, 122, 131, and 121.
What statistical test would you perform on these data and why would you use it? (T-test or Chi-Square)
Run your test – what results did you get and how do you interpret them?
Explanation / Answer
a)
We use T-test, because we have 2 groups to compare. Furthermore, we do not choose chi-square as we don't have expected values here.
b)
Run the test:
Formulating the null and alternative hypotheses,
Ho: u1 - u2 = 0
Ha: u1 - u2 =/ 0
At level of significance = 0.05
As we can see, this is a two tailed test.
Calculating the means of each group,
X1 = 114.9230769
X2 = 122.3846154
Calculating the standard deviations of each group,
s1 = 7.488452649
s2 = 9.526615887
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):
n1 = sample size of group 1 = 13
n2 = sample size of group 2 = 13
Thus, df = n1 + n2 - 2 = 24
Also, sD = 3.360784402
Thus, the t statistic will be
t = [X1 - X2 - uD]/sD = -2.220177664
where uD = hypothesized difference = 0
Now, the critical value for t is
tcrit = +/- 1.71088208
Thus, comparing t < -1.7109, we decide to WE REJECT THE NULL HYPOTHESIS.
Also, using p values,
p = 0.036104129
Comparing p < 0.05, WE REJECT THE NULL HYPOTHESIS.
Thus, there is significant evidence that the avergae egg size is affected when exposed to industrial waste. [CONCLUSION]
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.