Biostats Notes on Two Sample Tests of Hypotheses

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Flashcards for key concepts on two sample tests of hypotheses in biostatistics, covering independent and dependent samples, hypothesis tests, p-values, and confidence intervals.

Last updated 7:44 PM on 3/9/26
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19 Terms

1
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What are independent samples in biostatistics?

Independent samples are two samples where one sample is not related to the other.

2
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What are dependent samples also known as?

Dependent samples are also called paired samples or matched samples.

3
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How do you determine if samples are dependent or independent with a follow-up questionnaire?

If the same subjects answer both the initial and follow-up questionnaires, the samples are dependent.

4
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What is the null hypothesis form for paired samples?

Ho: There is no mean difference (Pa = do, for equal population means, do = 0).

5
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What is the significance level assumed in hypothesis testing if not given?

A significance level of α is typically assumed to be 0.05.

6
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What statistic is computed in hypothesis testing for paired samples?

Test statistic TS = (d - do) / (Sd / √n) where d is the mean of differences.

7
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What does the p-value represent in hypothesis testing?

The p-value represents the probability of obtaining the observed results if the null hypothesis is true.

8
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How is the confidence interval for paired samples calculated?

The confidence interval is calculated as P.E. ± M.O.E., where P.E. is the point estimate and M.O.E. is the margin of error.

9
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What is the margin of error for a confidence interval?

The margin of error is calculated using the t-distribution and depends on the standard deviation and sample size.

10
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What does it mean if p-value < α?

If p-value < α, then we reject the null hypothesis.

11
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In a confidence interval, what does a result like (0.833, 8.167) mean?

We are 95% confident that the mean difference in scores lies between 0.833 and 8.167.

12
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What is the alternative hypothesis for testing if the mean score after viewing is higher?

H₁: The mean score after viewing is greater than the mean score before viewing.

13
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What does it indicate if Ho is rejected?

If Ho is rejected, there is sufficient evidence to support the research hypothesis.

14
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What are the degrees of freedom for the paired t-test?

Degrees of freedom for the paired t-test is calculated as df = n - 1.

15
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What is Bartlett's F-Test used for?

Bartlett's F-Test is used to test the equality of variances from two populations.

16
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What skewness is associated with the F-distribution?

The F-distribution is right skewed.

17
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What is the conclusion for a F-test if p-value < α?

Reject the null hypothesis, indicating that the variances are statistically different.

18
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What should you do if significant deviations from normality occur in Bartlett's test?

Consider using Levene's Homogeneity of Variances Test instead.

19
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How do you interpret a confidence interval that includes zero, such as (-1.10264, 4.60264)?

We cannot conclude that there is a significant effect; the mean difference could be zero.

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