Variables
Sampling
Scales of Measurement
Research Design
Inferential vs Descriptive STATS
100

This type of variable can take on any value between two points and is often measured, like height or weight.

What is a continuous variable?

100

This type of sampling gives every individual in the population an equal chance of being selected.

What is random sampling?

100

This scale has categories without any meaningful order, like types of transportation.

What is a nominal scale?

100

This is the variable that researchers measure to determine the effect of the independent variable.

What is the dependent variable?

100

These statistics are used to summarize and describe data from a sample.

What are descriptive statistics?

200

This variable type consists of separate, distinct values that cannot be subdivided, like the number of students in a class.

What is a discrete variable?

200

This occurs when a sample over-represents one group, leading to conclusions that cannot be generalized to the population.

What is sampling bias?

200

This scale allows for meaningful differences between values but does not have a true zero, such as temperature in Celsius.

What is an interval scale?

200

This error occurs when researchers conclude there is a relationship between variables when there isn’t.

What is a Type I error?

200

This type of statistic helps researchers draw conclusions about a population based on a sample.

 What are inferential statistics?

300

This variable is manipulated by the researcher in an experiment to see its effect on the dependent variable.

What is the independent variable?

300

A sampling technique used when the population is divided into subgroups, and samples are taken proportionally from each group.

What is stratified sampling?

300

This scale has a true zero point, allowing for meaningful multiplication and division, like weight or height.

What is a ratio scale?

300

In this type of research design, participants are randomly assigned to different groups, such as control and experimental.

What is an experimental design?

300

This statistic can help researchers determine if the average amount of exercise differs among students in different years of university.

What is the F statistic?

400

A scale of measurement where values can be ranked, but the differences between them are not meaningful.

What is an ordinal scale?

400

The small difference between a sample statistic and the true population parameter is called this.

What is sampling error?

400

On this scale, you can rank values, but the differences between them are not equal or meaningful.

What is an ordinal scale?

400

A research method where participants are observed in their natural environment without manipulation is called this.

What is non-experimental or observational research?

400

This concept describes the probability that the results from a sample differ from the population due to chance.

What is sampling error?

500

This type of variable influences both the independent and dependent variables, distorting the results of the study.

What is a confounding variable?

500

 In this scenario, a teacher surveys only the front row of students about their test scores and concludes the entire class did well.

What is a biased sample?

500

If a study measures “number of errors made” by participants, what type of scale is this?

What is a ratio scale?

500

This design involves the same participants being measured across different experimental conditions.

What is a within-subjects design?

500

This process involves testing a prediction made by a hypothesis to determine if the results are statistically significant.

What is hypothesis testing?

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