Stat 1 Ch. 1 Review

Front

Define the population in a study.

Back

The population refers to all members of a specified group that a researcher is interested in studying. For example, in a study of turtle lifespans, the population would be all turtles.

Front

What is a sample in statistics?

Back

A sample is a subset of individuals selected from a larger population, used to represent that population in a study.

Front

What is a statistic?

Back

A statistic is a numerical characteristic or measure obtained by using the data values from a sample.

Front

What is a parameter?

Back

A parameter is a numerical characteristic or measure obtained by using all the data values from a population.

Front

What is the predictor variable in an experiment?

Back

The predictor variable is the variable that is manipulated or changed to observe its effect on another variable.

Front

What is the purpose of randomization in experiments?

Back

The purpose of randomization is to reduce bias by ensuring that each participant has an equal chance of being assigned to any group.

Front

What are the four levels of measurement?

Back

The four levels of measurement are nominal, ordinal, interval, and ratio.

Front

Define nominal level of measurement.

Back

Nominal level of measurement classifies data into distinct categories without any order or ranking. Examples include marital status or types of fruit.

Front

Define ordinal level of measurement.

Back

Ordinal level of measurement classifies data into categories that can be ranked or ordered, but the differences between the ranks are not meaningful. Examples include class rankings.

Front

Define interval level of measurement.

Back

Interval level of measurement involves numerical data where the difference between values is meaningful, but there is no true zero point. An example is temperature in Celsius.