Data Collection & Sampling Vocabulary Quiz

Questions and Answers

What is a categorical variable?

A variable that places an individual into one of several groups or categories (correct)

A variable measured in numerical values

A variable that is difficult to measure

A variable related to time

What defines a quantitative variable?

It only includes qualitative data.

It is always biased.

It collects information that is numeric. (correct)

It collects categorical information.

What is a census?

The result of measuring or counting every individual in a population.

What is a sample?

The portion of the population you count or survey. Signup and view all the answers

What is meant by population in data collection?

The entire group we are interested in. Signup and view all the answers

Bias occurs when all individuals in a population have an equal chance of being selected for a sample.

False Signup and view all the answers

What is a convenience sample?

A sample made up of individuals that are easiest to reach. Signup and view all the answers

What is a voluntary response sample?

A sample made of volunteers and is always biased. Signup and view all the answers

What does randomness mean in sampling?

Every individual in the population has an equal chance of being selected. Signup and view all the answers

What is a simple random sample (SRS)?

A sample selected by a method that ensures every possible sample has an equal chance of being selected. Signup and view all the answers

What is a stratified sample?

Results when a population is separated into subgroups called strata, and simple random samples are selected from each stratum. Signup and view all the answers

What is a cluster sample?

Results when a population is separated into clusters, and a random sample of clusters is selected, with all individuals in the cluster included. Signup and view all the answers

Study Notes

Data Collection & Sampling Vocabulary

Categorical variable: Places individuals into specific groups or categories, such as gender or letter grades.
Quantitative variable: Involves numeric information, which can be measured, such as age, height, or grade levels.
Census: A comprehensive count or measurement of every individual in a population, providing complete data.
Sample: A subset of a population chosen for counting or surveying, used to make inferences about the population.
Population: The entire group of individuals or items that are of interest in research or survey.
Bias: Arises when certain individuals in a population have a higher probability of being selected for a sample, leading to skewed results.
Convenience sample: Comprises individuals that are easiest to access or reach, often leading to unrepresentative outcomes.
Voluntary response sample: Consists solely of volunteers, usually resulting in biased data as these individuals may not represent the overall population.
Randomness: Ensures that every individual in the population has an equal chance of being selected for the sample, promoting fairness.
Simple random sample (SRS): A sampling method where every possible sample has an equal probability of selection, ensuring unbiased representation.
Stratified sample: Divides the population into distinct subgroups (strata) and selects random samples from each strata proportionate to their sizes, enhancing representativeness.
Cluster sample: Involves dividing the population into clusters and randomly selecting entire clusters for study, including all individuals within those clusters.

Description

Test your knowledge on key terms related to data collection and sampling. This quiz covers essential vocabulary such as categorical and quantitative variables, population, and sample biases. Perfect for students learning about research methods and statistical sampling.