# Question

1. Plot used for visual comparison of results in two (or more) groups

2. Difference between the averages in two samples

3. Difference between the averages in two populations

4. Name given to the variable that specifies the treatments in an experiment

5. Estimate of the standard error of the difference between two sample means

6. Avoids confounding in a two-sample comparison

7. Test statistic indicating a statistically significant result if a is 0.05 and H0: μ1 - μ2 ≥ 0

8. Test statistic indicating that a mean difference is not statistically significant if a = 0.05

9. The number of degrees of freedom in a paired t-test

10. Multiple factors explain the difference between two samples

(a) t = – 4.6

(b) t = 1.3

(c) μ1 – μ2

(d) √ s21 + s22 / n2

(e) n – 1

(f) 1 – 2

(g) Confounding

(h) Randomization

(i) Factor

(j) Comparison boxplots

2. Difference between the averages in two samples

3. Difference between the averages in two populations

4. Name given to the variable that specifies the treatments in an experiment

5. Estimate of the standard error of the difference between two sample means

6. Avoids confounding in a two-sample comparison

7. Test statistic indicating a statistically significant result if a is 0.05 and H0: μ1 - μ2 ≥ 0

8. Test statistic indicating that a mean difference is not statistically significant if a = 0.05

9. The number of degrees of freedom in a paired t-test

10. Multiple factors explain the difference between two samples

(a) t = – 4.6

(b) t = 1.3

(c) μ1 – μ2

(d) √ s21 + s22 / n2

(e) n – 1

(f) 1 – 2

(g) Confounding

(h) Randomization

(i) Factor

(j) Comparison boxplots

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