Chapter 10 Flashcards
Null Hypothesis for Proportions
H0: p1−p2=0
Alternative Hypothesis for Proportions.
1) Ha: p1−p2<0 (or p1 < p2)
2) Ha: p1−p2>0 (or p1 > p2)
3) Ha: p1−p2≠0 (or p1 ≠ p2
Conditions for Proportion Test
a) Randomization.
b) sample size. There are at least 5 successes and failures in each group.
Test Statistic for Proportions
z- (p1)-p2)-/se
Standard Error for Comparing Two Population Proportions
Sqrt(p(1-p)(1/n1+1/n2))
Conclusions for Comparing Two Population Proportions
1) If P-value is less than a, reject H0. There is sufficient evidence, at a, that Ha is true
2) If the p-value is greater than a, fail to reject H naught. There is insufficient evidence, at a, that ha, is true.
What are the two tests for comparing two means?
1) Two sample t-test.
2) Paired t-test
Two-sample t-test
Used to test whether the average of two groups are the same for a quantitative variable.
Paired t-test
Used to investigate matched-pairs designs and is in fact a specialized version of a normal t-test
Null Hypothesis for Two Population Means
H0: μ1−μ2=0 (or μ1=μ2)
Alternative Hypothesis for Population Means
1) Ha: μ1−μ2<0 (or μ10 (orμ1>μ2)
3) Ha: μ1−μ2≠0 (or μ1≠μ2)
Conditions for Model (Means)
a) Randomization.
b) Sample size. Population distributions are nearly normal and n1 and n2 are greater than 30.
3) To use a two-sample test, the two groups we are comparing must be independent of each other.
Conclusion for Comparing Two Population Means
1) If P-value is less than alpha, reject H0. There is sufficient evidence, at alpha that Ha is true.
2) If P-value is greater than alpha, fail to reject h-naught. There is insufficient evidence, at alpha, that Ha is true.
Null Hypothesis for Paired t-test
H0: μd=0
Alternative Hypothesis for Paired t-test
1) Ha: μd<0
2) Ha: μd>0
3) Ha: μd≠0