In: Statistics and Probability
1 - Menstrual cycle length. Problem 3 calculated the mean length of menstrual cycles in an SRS of 9 women. The data revealed days with standard deviation s = 2.906 days.
a - Calculate a 95% confidence interval for the mean menstrual cycle length.
b - Based on the confidence interval you just calculated, is the mean menstrual cycle length significantly different from 28.5 days at α = 0.05 (two sided)? Is it significantly different from μ = 30 days at the same α-level? Explain your reasoning. (Section 10.4 in your text considered the relationship between confidence intervals and significance tests. The same rules apply here.)
Solution :
Given that,
= 28.5
s = 2.906
n = 9
a ) Degrees of freedom = df = n - 1 = 9 - 1 = 8
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,8 =2.306
Margin of error = E = t/2,df * (s /n)
= 2.306* (0.9 / 25)
= 2.234
Margin of error = 2.234
The 95% confidence interval estimate of the population mean is,
- E < < + E
28.5 - 2.234 < < 28.5 + 2.234
26.266 < < 30.734
(26.266, 30.734)
b ) This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 30
Ha : 30
Test statistic = t
= ( - ) / S / n
= (28.5 -30) / 2.906 / 9
= −1.549
Test statistic = t =−1.549
P-value =0.1601
= 0.05
P-value ≥
0.1601 ≥ 0.05
Reject the null hypothesis .
There is sufficient evidence to suggest that