Measures of Central Tendency
Measures of Variability
Data Presentation
Associations of Data Presentation
Mathematical Terms
100

Also called arithmetic average

Mean

100

The spread of the data

Variability

100

A graph of the frequencies of different values of a variable in a statistical distribution

Distribution curve

100

Used to present the relationship between two continuous variables

Scatterplots

100

Refers to the number of cases of a disease or other health phenomenon being studied

Count

200

Middle point of a set of numbers

Median

200

Maximum – minimum value

Range

200

A type of graph that shows the frequency of cases for categories of a categorical variable

Bar chart

200

Ranges from –1 to +1; the value 0 means no relationship

Pearson Correlation Coefficient (r)

200

The value obtained by dividing one quantity by another; A/B

Ratio

300

Number occurring most frequently in a set or distribution of numbers

Mode

300

In Interquartile Range, the data is assorted into what type of order?

Ascending order

300

Shows the proportion of cases according to several categories- used for categorical variables

Pie chart

300

Relationships between two variables is studied and presented either numerically or graphically

Bivariate relationships

300

A type of ratio in which the numerator is part of the denominator, may be expressed as a %

Proportion

400

A value that describes the data

Central tendency

400

Measure of dispersion (how spread out the numbers/scores are 

Standard deviation (SD)

400

Used to display trends, points in the graph are joined by a line

Line graph

400

Another method for demonstrating associations between two categorical variables

Contingency Table (2x2 table)

400

A proportion multiplied by 100  [A/(A+B)]*100

Percent

500

Measures of central tendency are typically used for these types of variables

Continuous variables

500

 Range of the middle 50% of the scores in a distribution

Interquartile range (IQR)

500

For studies that have hundreds or thousands of participants, this is used to get an understanding of responses and missing values

Frequency tables

500

When we calculate [blank], we can answer a question: As x increases, does y increase/decrease/stay the same?

Pearson Correlation Coefficient (r)

500

Also a type of proportion, but the denominator involves a measure of time

Rate

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