BST 322 Final Exam Graded A

1. When calculating a Pearson's correlation coefficient, it is necessary that both variables have approximately normal distributions. - True 2. The variable "Group assignment" is an example of what level of measurement? - Nominal 3. Statistics that allow for inferences to be made about a population from the study of a sample are known as: - Inferential 4. Which measure of variability is used most often in conjunction with the mean? - Standard deviation 5. Data that are categorical but can be rank-ordered in a meaningful way are called: - Ordinal 6. The variable "religion" is an example of what level of data? - Nominal 7. The standard deviation is: - The square root of the variance 8. In a study that examines the effect of a peer mentor on the emotional status of patients, what is the dependent variable? - Emotional status 9. The variable "miles per hour" is an example of what level of data: - Ratio 10. Information collected in a numerical form is called: - Quantitative 11. Which measure of central tendency is at the highest point on a graph? - Mode 12. The measure of central tendency that is the point at which half the scores fall above and half the scores fall below is the: - Median 13. The mean and the mode are always the same for a dataset of over 10 values. - False 14. If the mean is to the left of the median, what is true? - The distribution is negatively skewed. 15. A variable with equal distances between score units which also has a true meaningful zero is: - Ratio 16. The third quartile is: - the point below which 75% of the scores lie. 17. Which quartile has the same value as the median? - 50% 18. Correlation coefficient tests allow you to determine if a cause-and-effect relationship is present. - False 19. A study in which a set of patients are tested for pain level before and after being given a new pain medication would use which test? - Dependent t-test 20. A range of values estimated to have a high probably of containing the population value is called: - Confidence interval 21. The area of a sampling distribution beyond which the null hypothesis is rejected is known as the: - Critical region 22. Statistical tests that make assumptions about the underlying distributions are called: - Parametric tests 23. If a researcher accepts a null hypothesis when that hypothesis is actually false, he has committed: - a type II error 24. If a researcher rejects a null hypothesis when that hypothesis is actually true, he has committed: - a type I error 25. If you wanted to compare the effect of 3 separate kinds of interventions (3 separate groups of one independent variable -the intervention type) on a single dependent variable, the appropriate test would be: - One-way ANOVA