1. A formal statement that there is an absence of relationship between variables when tested by a researcher is called: (Points : 1)

Null hypothesis

Type I error

Type II error

Negative interval

2. Bivariate statistics refers to the statistical analysis of the relationship between two variables. (Points : 1)

True

False

3. Positive relationships between two variables indicate that, as the score of one increases, the score of the other increases. (Points : 1)

True

False

4. A result that is probably not attributable to chance is: (Points : 1)

Type I error

Type II error

Statistical significance

In the semi-quartile range

5. A score that is likely to fall into the middle 68% of scores of a normal distribution will fall inside these values: (Points : 1)

. +/- 3 standard deviations

+/- 2 standard deviations

+/- 1 standard deviation

semi-quartile range

6. It is important to assess the magnitude or strength of a relationship because this assists you with deciding whether or not a variable A causes variable B. (Points : 1)

True

False

7. In a negative relationship, as the score of one variable decreases, the score on the second variable decreases. (Points : 1)

True

False

8. A set of subjects, usually randomly sampled, selected to participate in a research study is called: (Points : 1)

Population

Sample

Mode Group

Partial Selection

9. A perfect negative relationship between two variables is expressed as r=0. (Points : 1)

True

False

10. 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. (Points : 1)

True

False

11. A Z score of +/-1.96 is equivalent to these values on a normal distribution. (Points : 1)

Critical region

+/-1 standard deviation

+/-2 standard deviations

+/-3 standard deviations

12. An assumption used by statisticians which states that population parameters are normally distributed: (Points : 1)

Central Limit Theorem

Null Hypothesis

Statistical significance

Standard deviation

13. When examining the relationship between two interval or ration level variables, you can use a scatterplot to allow you to visualize the relationship between the two. (Points : 1)

True

False

14. Correlation coefficients, r, range from -1.00 to +1.00. (Points : 1)

True

False

15. An entire set of individuals or objects having some common characteristics is: (Points : 1)

Sample

Population

Median Group

Complete selection

16. Data which uses number values, has an equal distance between values, and has a possible absolute zero is: (Points : 1)

Interval

Nominal

Ordinal

Ratio

17. 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. (Points : 1)

True

False

18. A significant finding with the 2 sample t-test indicates a strong relationship exists between the 2 population means. (Points : 1)

True

False

19. Data which uses number values with an equal distance between values are: (Points : 1)

Nominal

Ordinal

Normal

Interval

20. Data which uses numbers to provide categories or labels as well as the ordering of the categories are: (Points : 1)

Nominal

Ordinal

Ratio

Interval

21. Not all variables retained in a regression model are required to be significant. (Points : 1)

True

False

22. Parametric tests can be used with any type of data. (Points : 1)

True

False

23. This term refers to how data spreads out or disperses within a distribution. (Points : 1)

Variability

Critical region

Range

Mode

24. Relevant data that are expressed in numerical form are called: (Points : 1)

Qualitative data

Quantitative data

Standard data

Multiplicative data

25. It is not necessary to look at the frequency distribution if the mean, median, and mode are known. (Points : 1)

True

False

26. Causation is synonymous with association. (Points : 1)

True

False

27. The area of the theoretical distribution where the researcher will reject the null hypothesis is called: (Points : 1)

+/- 1 standard deviation

Semi-quartile range

Critical region

Standard deviation

28. The arithmetic average of the data is called the: (Points : 1)

Mean

Median

Mode

Var

29. Regression uses the least squares method to fit a model. (Points : 1)

True

False

30. The difference between the highest and lowest score in a distribution is called: (Points : 1)

Semi-quartile range

Range

Mean

Median

31. This is the measurement of dispersion equal to the square root of the mathematical variance. (Points : 1)

Mean

Median

Standard deviation

Range

32. This is used to compare means while controlling for the effect of a covariate. (Points : 1)

ANOVA

RANOVA

ANCOVA

Dependent t-test

33. The assumptions for ANCOVA differ substantially from those for ANOVA. (Points : 1)

True

False

34. When the researcher incorrectly rejects the null hypothesis, it is known as: (Points : 1)

Hypothesis error

Statistical significance

Type I error

Type II error

35. You are studying the effect of hypnosis on weight loss. You will measure each patient’s weight pre- and post-intervention. The most appropriate test is: (Points : 1)

One sample t-test

MANOVA

ANCOVA

Dependent groups t-test

36. What is the minimum level of measurement appropriate for the independent variable in a t-test? (Points : 1)

Nominal

Ordinal

Interval

Ratio

37. ANOVA assumes which of the following? (Points : 1)

Random sampling

Normal distribution

Dependent variable is at least interval

Three or more groups of independent variable

All of the above

38. Public Health nurses want to compare the mean weight of US 6th graders to a sample of 6th graders in one school. Which statistical test is most appropriate (Points : 1)

One-sample t-test

ANOVA

ANCOVA

Independent t-test

39. A group of neonatal nurses wanted to know if there was a difference in mean heart rate between premature babies who were swaddled and babies who were not swaddled. Babies were randomly assigned to swaddling or no swaddling. Which test is most appropriate? (Points : 1)

One sample t-test

ANCOVA

Independent t-test

Logistic regression

40. Psych nurses wanted to evaluate the effect of three different treatments for anxiety – positive imagery, therapeutic touch, and medication on anxiety score (interval data) while controlling for the effect of length of stay. Which test is most appropriate? (Points : 1)

ANOVA

ANCOVA

Independent t-test

Paired t-test

41. Critical care nurses wanted to evaluate the effect of heparin vs saline IV flush solution on IV patency (patent vs not patent). Which test is most appropriate? (Points : 1)

One sample t-test

Independent t-test

Chi-square test

ANOVA

42. A nurse researcher wanted to evaluate blood pressure in a set of patients/research subjects at 1, 3, and 6 months. What test would be most appropriate? (Points : 1)

Independent t-test

ANVOVA

RM-ANOVA

ANCOVA

43. In a study that examines the effect of a peer mentor on the heart rate of patients, what is the dependent variable? (Points : 1)

Peer mentoring

Emotional status

Heart rate

Patients

44. A variable with equal distances between score units which also has a true meaningful zero is: (Points : 1)

Ordinal

Cardinal

Ratio

Nominal

45. The standard deviation is: (Points : 1)

The difference between the 3rd and 1st quartile.

The squared deviations from the mean.

The difference between the highest and lowest scores.

The square root of the variance.

46. If a researcher accepts a null hypothesis when that hypothesis is actually true, she has committed: (Points : 1)

a type I error

a type II error

no error

a causation

47. Chi-square tests can be conducted for a 4X3 contingency table. (Points : 1)

True

False

48. This is used when a conservative approach is desired and an expected cell frequency is less than 5 in a 2X2 table. (Points : 1)

Fisher’s exact test

Cramer’s V

Yates’ correction

Regression

49. The distribution of chi-square values is NOT normally distributed. (Points : 1)

True

False

50. Generally, an ANOVA test is used when 3 or more variables are compared. (Points : 1)

True

False