In: Statistics and Probability
For each of the following Hypotheses (including test statistic and other information), find de p-value (or its bounds) and draw basic conclusions with 99% confidence.
1) Ho : p = po, H1: P <> po n = 314 test statistics = 2.03 P
value =
Conclusion w.r.t. Ho:
2) Ho : σ1^2<= σ2^2 , H1: σ1^2>σ2^2 n1= 8, n2=4 test statistics = 3.02
P value =
Conclusion w.r.t. Ho:
3) Ho : µd = D0, , H1: µd <> D0, n=18 test statistics = -1.47
P value =
Conclusion w.r.t. Ho:
1)
Since hypotheses are about proportion so test statistics must be z test statistics. Test is two tailed so p-value of the test using z table is
p-value = 2 P(z > 2.03) = 2 * [ 1 - P(z <= 2.03)] = 2* [1 - 0.9788] = 0.0424
Conclusion: Since p-value is greater than 0.01 so we fail to reject the null hypothesis.
2)
Here hypotheses are comparing variances so test statistics must be F test statistics.
Degree of freedom of numerator: df1 = 8-1 = 7
Degree of freedom of denominator: df2 = 4-1 = 3
The test statistics is
F = 3.02
Using F table, the p-value is:
p-value > 0.10
Conclusion: Since p-value is greater than 0.01 so we fail to reject the null hypothesis.
3)
Here hypotheses are about paired population mean so test statistics must be t test statistics. Test is two tailed.
Degree of freedom: df = 18-1 = 17
The test statistics is
t = -1.47
Using t table, the p-value is:
0.10 < p-value < 0.20
Conclusion: Since p-value is greater than 0.01 so we fail to reject the null hypothesis.