Rates, Ratios, & Proportions
Significance
Bivariate Analysis
Basic Statistics
Miscellaneous
100

 The rate at which new events occur in a population over time.

Incidence rate

100

What is term for the assumption that there is no effect or difference between groups?

Null hypothesis

100

What does it mean if the correlation coefficient (r) is 0.8

Strong positive correlation, both variable increase and decrease together.

100

The number occurring most frequently in set or distribution of numbers

Mode

100

 What is the measure of the frequency with which an event occurs in a defined population over a specified period of time

Rate

200

◦All cases or deaths from a health outcome at a particular point-in-time relative to a specific population of the cases

Point prevalence 

200

A small p-value means:

That the observed association is unlikely if the null hypothesis is true, leading us to reject the null hypothesis

200

Used to compare the means of three or more groups by analyzing variance

ANOVA (analysis of variance)

200

This term describes the degree of variability in a set of numbers

Variance

200

An older population can pull the crude mortality rate upward, even when age-specific mortality rates are identical

True

300

What is the relative magnitude of two quantities or a comparison of any two values?

Ratio

300

This is the ability of a study to demonstrate an association if one exists.

Power

300

Which type of statistical test is appropriate to compares two sample means?

T-Test 

300

This type of graph identifies relationships or correlations between two numerical variables.

Scatter plot

300

The process of separating data into subgroups based on the characteristic we are interested in

Stratification 

400

 Type of incidence proportion used when the occurrence o disease among a population at risk increases greatly over a short period of time.

Attack rate

400

Define a 95% confidence interval

The true parameter will be contained in the CI 95% of the time (i.e. if you run the test 100 times, the CI will contain the true value in 95% of the time)

400

What is the appropriate statistical test to evaluate a linear association between 2 variables?

Pearson correlation coefficient (r)

400

This number represents the middle 50% of values.

Interquartile range

400

The median and mean are not the same value in this distribution.

Skewed distribution 

500

 Number of deaths within a population due to a specific disease or cause divided by the total number of deaths in population (multiplied by 100)

Proportional mortality ratio (PMR) %

500

If a 95% confidence interval is wide (imprecise) how can one narrow the confidence interval to make it more precise?

Increase the sample size

500

This type of T-Test is not direction specific and has the α (0.05) is split between both ends.

Two-tailed T-Test

500

This provides a range of values where the true value lies.

Interval estimate/Confidence interval

500

 Provides a measure of lethality for disease

Case fatality rate

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