In: Statistics and Probability
(a)
the type of statistical test procedure that should be used to test the hypotheses : Two independent Samples Proportions Z test
Explanation:
In this experimetation, the 2 samples: Sample 1: 100 patients received St. John’s Wort and Sample 2: 100 patients received Placebo are independent.
(b)
n1 = 100
1 = 27/100 = 0.27
n2 = 100
2 = 19/100 = 0.19
=0.05
From Table, critical values of Z = 1.96
Confidence Interval:
95% confidence interval. :
( - 0.036, 0.196)
Since 0 is included in the Confidence Interval: ( - 0.036, 0.196) , we conclude that :
the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that St. John’s Wort is effective
in treating major depression.
Interpretation:
The 95% confidence interval ( - 0.036, 0.196) is a range of values
we are 95% confident will cotain the true unkown population
proportion of difference between St. John’s Wort and Placebo.
(c)
H0:Null Hypothesis:p1 p2 ( St. John’s Wort is not effective in treating major depression. )
HA: Alternative Hypothesis:p1 > p2 ( St. John’s Wort is effective in treating major depression. ) (Claim)
n1 = 100
1 = 27/100 = 0.27
n2 = 100
2 = 19/100 = 0.19
Pooled Proportion is given by:
=0.05
From Tble, critical values of Z = 1.94
Test Statistic is given by:
Since calculated value of Z = 1.344 is less than critical value of Z = 1.96, we conclude that:
the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that St. John’s Wort is effective
in treating major depression.
We get the same answer as part (b).
(d)
By Technology,
p - value = 0.0894.
Since p - value = 0.0894. is greater than = 0.05, we conclude that:
the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that St. John’s Wort is effective
in treating major depression.
We get the same answer as part (b).