Statistics

Question 1

When looking at variables in qualitative data what can they be divided into?

Answer 1

Ordinal or nominal

Question 2

Numeric data (quantitative) variables can be?

Answer 2

Discrete or continuous

Question 3

What are confounding variables?

Answer 3

Variables which the researcher failed to control or eliminate, damaging the internal validity of an experiment

Question 4

Is random sampling a source of bias in a study?

Answer 4

No

Question 5

What is precision?

Answer 5

Describes how well repeated observations agree with one another and is measured by sampling error.

Question 6

Is it possible to have bias with precision?

Answer 6

Yes! It is a consistent tendency to over or under estimate a quantity and still have a precise estimate

Question 7

If the data is quantitative which two forms can the variables be?

Answer 7

Discrete or continuous

Question 8

If the data can be put in a meaningful order what two categories could the variables be?

Answer 8

Categorical nominal or categorical binary

Question 9

If the variable is nominal and only had the answers yes or no what is it’s further classification?

Answer 9

Binary

Question 10

If the data can be put in a meaningful order what is it’s classification?

Answer 10

Categorical ordinal

Question 11

Define prevalence probability…

Answer 11

The probability of having disease D at a given time point

Question 12

What is incidence probability?

Answer 12

The probability of getting disease D during a specified time period