Statistics and Experimental Design - Week 5 - Tests of Independ

Statistics and Experimental Design - Week 5 - Tests of Independ

University

10 Qs

quiz-placeholder

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Statistics and Experimental Design - Week 5 - Tests of Independ

Statistics and Experimental Design - Week 5 - Tests of Independ

Assessment

Quiz

Biology, Science, Mathematics

University

Hard

Created by

Brandon Celaya

Used 3+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following tests could apply to data of a nominal measurement scale?

Normality test

Student’s one sample t test

Wilcoxon signed-rank test

χ2 test of independence

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following datasets could NOT be used with a z test of proportions?

The percentage of men who have dogs and the percentage of women who have dogs

The proportion of car accidents that happen in the snow in Columbus and in Atlanta

A sample of people on which data has been collected on whether or not they have allergies and whether or not they have cats

The percent by volume of air in Lays potato chip bags and in Chex Mix bags

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

3 columns, 3 rows

4 columns, 4 rows

3 columns, 4 rows

4 columns, 5 rows

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which pairing is most correct?

Odds ratio – cohort study

Odds ratio – prospective study

Relative risk – case-control study

Relative risk – prospective study

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Contingency tables can be used in all of the following EXCEPT...

Odds ratio test

McNemar’s test

Relative risk test

ROC analysis

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

ROC curves plot...

AUC vs specificity

Predictive power vs AUC

Sensitivity vs false positive rate

False positive rate vs true positive rate

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

Treatment (+) row = 50

Treatment (-) row = 50

Treatment (+) row = 25

Treatment (-) row = 75

Treatment (+) row = 75

Treatment (-) row = 25

Treatment (+) row = 100

Treatment (-) row = 0

Treatment (+) row = 0

Treatment (-) row = 200

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