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WorksheetsIllustrating Hypothesis Testing
Total questions: 20
Worksheet time: 7mins
Which of the following represents the appropriate null & alternative hypotheses?
The mean height of women is greater than 65"
H₀: μ > 65"
Hₐ: μ ≠ 65"
H₀: μ < 65"
Hₐ: μ > 65"
H₀: p > 65"
Hₐ: p ≠ 65"
H₀: p = 65"
Hₐ: p > 65"
Suppose the P-value for a hypothesis test is 0.0304. Using a = 0.05, what is the appropriate conclusion?
a) Reject the null hypothesis
b) Reject the alternative hypothesis
c) Fail to reject the null hypothesis
d) Fail to reject the alternative hypothesis
When p-value is greater than alpha we:
Reject Ho
Fail to reject Ha
Fail to reject Ho
Reject Ha
Ha = 18.4
Ha > 18.4
Ha < 18.4
Ha ≠ 18.4
A test is made of H0 : µ = 17 versus H1 : µ < 17 is performed using α = 0.01 significance level. The value of the test statistic is z = -2.68 and it is concluded that H0 is rejected.
If the true value of µ is 17, is the conclusion a Type I Error, Type II error, or a correct decision?
Type I
Type II
Correct Decision
A test is made of H0 : µ = 17 versus H1 : µ < 17 is performed using α = 0.01 significance level. The value of the test statistic is z = -2.68 and it is concluded that H0 is rejected.
If the true value of µ is 10, is the conclusion a Type I Error, Type II error, or a correct decision?
Type I
Type II
Correct Decision
A test is made of H0 : µ = 50 versus H1 : µ =/= 50 is performed using α = 0.01 significance level. The value of the test statistic is z = -2.68 and it is concluded that we fail to reject H0 .
If the true value of µ is 65, is the conclusion a Type I Error, Type II error, or a correct decision?
Type I
Type II
Correct Decision
A test is made of H0 : µ = 50 versus H1 : µ =/= 50 is performed using α = 0.01 significance level. The value of the test statistic is z = -2.68 and it is concluded that we fail to reject H0 .
If the true value of µ is 50, is the conclusion a Type I Error, Type II error, or a correct decision?
Type I
Type II
Correct Decision
Ha = 47
Ha < 47
Ha > 47
Ha ≠ 47
The null and alternative hypothesis can be the same.
Yes
No
Maybe
All the above
H0: μ = k
H1: μ ≠ k
Left-tailed test
Two-tailed test
Right-tailed test
H0: μ = k
H1: μ > k
Left-tailed test
Right-tailed test
