In a test of H0: p = 0.45 versus Ha: p < 0.45, the value of the z test statistic was calculated to be z = -0.55. Which of the following is the P-value for this test?
1.0.1230
2.0.2360
3.0.2500
4.0.2912
5.0.3020
Q. 2Describe the two types of errors that might be made when a hypothesis test is carried out.
1.A Type I error is rejecting Ho when Ho is true. A Type II error is failing to reject Ho when Ho is false.
2.A Type I error is rejecting Ho when Ho is false. A Type II error is failing to reject Ho when Ho is true.
3.A Type I error is failing to reject Ho when Ho is true. A Type II error is rejecting Ho when Ho is true.
4.A Type I error is rejecting Ho when Ho is true. A Type II error is failing to reject Ho when Ho is true.
5.A Type I error is rejecting Ho when Ho is false. A Type II error is failing to reject Ho when Ho is false.
Q. 3One way to increase the power of a test is to increase your significance level.
1.True
2.False
Q. 4One way to increase the power of a test is to increase your sample size.
1.True
2.False
Q. 5If your results were statistically significant, then you could have made a Type I error.
1.True
2.False
Q. 6When the necessary conditions for a Z test for a population proportion p are met and the null hypothesis is true, the expected value for the Z test statistic is 0.
1.True
2.False
Q. 7One condition for a Z test for a population proportion p to be valid is that the population has a normal distribution.
1.True
2.False
Q. 8The p-value for a Z test to compare two population proportions was 0.027. The probability that H0 is true is 0.027.
1.True
2.False
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