RESEARCH

Question 1

An example of this variable is “Subject’s Age”

Answer 1

Discrete Variables

Question 2

Guideline for tables telling researchers to ensure that there is sufficient spacing between columns and rows and that the layout does not make the table look too messy or crowded.

Answer 2

Declutter your table

Question 3

How to present Numerical Variables

Answer 3

None of the Above

Question 4

There are no pro’s and con’s when making tables and graphs.
(True or False)

Answer 4

False

Question 5

A type of variable that has three or more categories with an obvious ordering of categories.

Answer 5

Ordinal Variables

Question 6

Variables are characteristics or attributes that can be measured, assuming different values.
(True or False)

Answer 6

True

Question 7

Variables that have three or more categories with no apparent ordering.

Answer 7

Nominal Variables

Question 8

Other name for Quantitative Variables

Answer 8

Numerical Variables

Question 9

General guideline telling researchers to make their tables and graphs concise and not vague

Answer 9

Give clear, informative titles

Question 10

Other name for Categorical Variables

Answer 10

Qualitative Variables

Question 11

How to present Categorical Variables

Answer 11

Both A and B

Question 12

Producing effective tables and figures start at the manuscript writing stage
(True or False)

Answer 12

True

Question 13

Variables measured on a continuous scale.

Answer 13

Continuous Variables

Question 14

A type of variable that has only two categories.

Answer 14

Dichotomous Variables

Question 15

Is collected by means of questions, systematic observations, imaging, or laboratory tests

Answer 15

Data

Question 16

Non-parametric tests makes many assumptions about the data, and are not useful when one or more of the common statistical assumptions are violated.
(True or False)

Answer 16

False

Question 17

Range is used to determine how far apart the most extreme values are.
(True or False)

Answer 17

True

Question 18

ANOVA and MANOVA tests are used when comparing the means of precisely two groups (e.g. the average heights of men and women). T - tests are used when comparing the means of more than two groups
(True or False)

Answer 18

False

Question 19

Bivariate analysis uses more than two variables.
(True or False)

Answer 19

False

Question 20

Quantitative variables are measured or identified on a numerical scale (e.g. Medical Records: Age, Weight, and Height).
(True or False)

Answer 20

True

Question 21

Mean: The mean is also known as “N” and is the most common method for finding averages.
(True or False)

Answer 21

False

Question 22

Correlation tests check whether variables are related without hypothesizing a cause-and-effect relationship.
(True or False)

Answer 22

True

Question 23

Univariate descriptive statistics focus on only one variable at a time.
(True or False)

Answer 23

True

Question 24

Measures of central tendency uses Mean, Median, and Mode.
(True or False)

Answer 24

True

Question 25

The most common types of parametric test include:
regression tests
comparison tests
correlation tests
(True or False)

Answer 25

True

Question 26

Nominal represent data with a yes/no or 1/0 outcome (e.g. win or lose).
(True or False)

Answer 26

False

Question 27

Data analysis is not an important component of public health practice
(True or False)

Answer 27

False

Question 28

Ordinal: represent group names (e.g. brands or species names).
(True or False)

Answer 28

False

Question 29

Variability is also called “Dispersion”.
(True or False)

Answer 29

True

Question 30

A nonparametric statistical test allows you to make comparisons without any assumptions about the data distribution.
(True or False)

Answer 30

True