BST322 Intro to Biomedical Statistics
• Question 1 1 out of 1 points The assumptions for ANCOVA differ substantially from those for ANOVA. Selected Answer: Correct Answer: Fals e Fals e • Question 2 A nurse researcher wanted to evaluate blood pressure in a set of 1 out of 1 points patients/research subjects at 1, 3, and 6 months. What test would be most appropriate? Selected Answer: RM-ANOVA Correct Answer: RM-ANOVA • Question 3 1 out of 1 points A variable with equal distances between score units which also has a true meaningful zero is: Selected Answer: Ratio Correct Answer: Ratio • Question 4 1 out of 1 points When examining the relationship between a nominal variable and an interval or ratio variable, you would create a table using the nominal variables, calculate the mode and median of the interval or ratio variable, then make a decision regarding the relationship using the mode and median. Selected Answer: Fals e Correct Answer: Fals e • Question 5 1 out of 1 points Data which uses numbers to provide categories or labels as well as the ordering of the categories are: Selected Answer: Ordinal Correct Answer: Ordinal • Question 6 Parametric tests can be used with any type of data. 1 out of 1 points Selected Answer: Correct Answer: Fals e Fals e • Question 7 1 out of 1 points Not all variables retained in a regression model are required to be significant. Selected Answer: Correct Answer: True Tru e • Question 8 1 out of 1 points To determine the proportion of variability in one variable that can be accounted for or explained by the variability of a second variable, you would calculate a correlation coefficient, then square it. Selected Answer: Correct Answer: True Tru e • Question 9 1 out of 1 points This is used to compare means while controlling for the effect of a covariate. Selected Answer: ANCOVA Correct Answer: ANCOVA • Question 10 The distribution of chi-square values is NOT normally distributed. 1 out of 1 points Selected Answer: Correct Answer: True Tru e
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National University
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BST 322
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bst322 intro to biomedical statistics