Chapter 10 Flashcards

1
Q

Null Hypothesis for Proportions

A

H0: p1−p2=0

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2
Q

Alternative Hypothesis for Proportions.

A

1) Ha: p1−p2<0 (or p1 < p2)
2) Ha: p1−p2>0 (or p1 > p2)
3) Ha: p1−p2≠0 (or p1 ≠ p2

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3
Q

Conditions for Proportion Test

A

a) Randomization.

b) sample size. There are at least 5 successes and failures in each group.

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4
Q

Test Statistic for Proportions

A

z- (p1)-p2)-/se

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5
Q

Standard Error for Comparing Two Population Proportions

A

Sqrt(p(1-p)(1/n1+1/n2))

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6
Q

Conclusions for Comparing Two Population Proportions

A

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.

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7
Q

What are the two tests for comparing two means?

A

1) Two sample t-test.

2) Paired t-test

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8
Q

Two-sample t-test

A

Used to test whether the average of two groups are the same for a quantitative variable.

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9
Q

Paired t-test

A

Used to investigate matched-pairs designs and is in fact a specialized version of a normal t-test

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10
Q

Null Hypothesis for Two Population Means

A

H0: μ1−μ2=0 (or μ1=μ2)

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11
Q

Alternative Hypothesis for Population Means

A

1) Ha: μ1−μ2<0 (or μ10 (orμ1>μ2)

3) Ha: μ1−μ2≠0 (or μ1≠μ2)

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12
Q

Conditions for Model (Means)

A

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.

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13
Q

Conclusion for Comparing Two Population Means

A

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.

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14
Q

Null Hypothesis for Paired t-test

A

H0: μd=0

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15
Q

Alternative Hypothesis for Paired t-test

A

1) Ha: μd<0
2) Ha: μd>0
3) Ha: μd≠0

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16
Q

Conditions for Paired t-test

A

a) Randomization
b) Sample size is nearly normal and n is greater than or equal to 30.
c) The two groups must be dependent on one another.

17
Q

Test Statistic for Paired t-test

A

t = xd−0/ SE(xd)

18
Q

Concussion for Paired t-tests

A

1) If P-value is less than alpha, reject null hypothesis. There is sufficient evidence at alpha that the alternative hypothesis is tur.
2) If the p-value is greater than alpha, fail to reject the null hypothesis. There is insufficient evidence at alpha that the alternative hypothesis is true.

19
Q

Confidence Interval=

A

Point estimate plus or minus Critical Value * SE

20
Q

What is the difference in calculating confidence intervals for comparing two groups?

A

Whereas we previously used ^por x as our point estimate for one-sample applications, our point estimates for these contexts will be ^p1−^p2 (for two-sample proportions), x1−x2 (for independent means), or xd (for paired applications.

21
Q

Critical value is ___ for proportions or ____ for means

A

z, t

22
Q

Matching confidence level to significance level α=

A

α=(100−c)100∨c=(1−α)∗100%

23
Q

If the hypothesized value falls ____ the confidence interval, we would not reject the null hypothesis at the corresponding significance level.

A

Within

24
Q

If the hypothesized value falls ____ the confidence interval, we would reject the null hypothesis at the significance level.

A

Outside.