Measurements
Basics
Sampling & Bias
Experimental Design
Evaluations
100

The level of measurement that categorizes qualitative data using levels or names.

Nominal Level of Measurement

100

This term describes the entire target group that a research wants to draw conclusions about.

Population

100

Which sampling method is numbering every individual in a population roster and using a random generator to select your sample?

Simple Random Sample

100

In an experiment, what do we call the specific condition (like a pill, dosage, or environment) actively applied to the subjects?

The Treatment

100

In an experiment, this is the baseline group that receives an inactive treatment (or standard treatment) to provide a point of comparison.

Control Group

200

Classify this data type (qualitative or quantitative): A meteorologist records the wind direction of incoming storms. 

Qualitative (or Categorical) Data
200

This is the subset (or portion) of the population from whom we actually gather data to draw inferences about the whole population.

Sample

200

A principal walks down the hallway during first period and surveys the first 25 students she sees. What kind of bias is this?

Convenience Bias

200

Name the randomization technique where every experimental subject has an equal chance of receiving any treatment without being grouped or paired first.

Completely Randomized Design

200

This psychological or physiological response occurs when a subject exhibits a change simply because they believe they are receiving active medication.

The Placebo Effect

300

The level of measurement for quantitative data where differences between entries are consistent, but there is no inherent zero.

Interval Level of Measurement

300

A news anchor reports that "54.2% of all registered voters support the library bill." This percentage represents which statistical category (parameter or statistic)?

Parameter

300

Which sampling method splits the population into distinct, similar subgroups (like grade levels) and takes some people from each of the subgroups?

Stratified Sample

300

This randomization technique groups similar subjects together (like by age or course level) before randomly assigning treatments within those groups.

Randomized Block Design

300

Explain what a double-blind experiment is.

When neither the participants nor researchers know who is receiving the treatment and who is receiving the placebo.

400

Identify the level of measurement for a biology student's data log tracking the physical weight (in grams) of lab mice. 

Ratio Level of Measurement

400

A researcher surveys 15 high schoolers in Rockbridge County about their opinion on after-school clubs. Identify the sample.

The 15 highschoolers who were interviewed

400

If a city council mails surveys to 1,000 residents, but only the 45 residents who feel passionately about the topic mail them back, the results suffer from this kind of bias.

Non-response Bias or Voluntary Response Bias

400

In this specific experimental design, subjects are paired based on similar characteristics, or the same subject receives both treatments in a randomized order.

Matched-Pairs Design

400

What are the three key elements of experimental design?

Control, Randomization, and Replication

500

Identify the level of measurement of the jersey number of athletes in different leagues. 

Nominal Level of Measurement

500

Briefly explain when it's best to use each of the three types of studies: survey, experiment, and observation.

Survey - gathering data quickly about opinions and attitudes

Observation - observing people's natural behaviors

Experiment - to determine a cause-and-effect relationship

500

Pick two bias types and give one ORIGINAL example for each.

(Answer will vary)

500

Explain what a confounding variable it and come up with one example of a confounding variable.

A confounding variable is an unmeasured factor that influences the results of an experiment. 

(Answer will vary for the example)

500

Explain how placebo and blinding control researcher and subject expectations in an experiment.

(Answers may vary)

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