Types of Data and Graphs
Correlation and Measures of Central Tendency
Sampling Principles and Experimental Design
Probability and Normal Distribution
Confidence Intervals and Hypothesis Testing
100

This type of data includes measurable quantities like weight or blood pressure.

What is quantitative data?

100

This value occurs most frequently in a dataset.

What is the mode?

100

This type of bias occurs when certain groups are underrepresented.

What is sampling bias?

100

This rule applies when two events cannot happen at the same time. 

What is the addition rule for mutually exclusive events?

100

Increasing sample size has this effect on interval width. 

What is decreases (narrows)?

200

This graph is used to show relationships between two quantitative variables

What is a scatterplot?

200

This type of correlation means that as one variable increases, the other decreases.

What is negative correlation?

200

This group does not receive the treatment and serves as a comparison.

What is the control group?

200

This notation represents the probability of A given B.

What is P(A|B)?

200

This value is compared to the significance level to make a decision during hypothesis testing.

What is the p-value?

300

This type of data includes catgories with no inherent order (e.g., blood type).

What is nominal data?

300

This measure is the average of all values. 

What is the mean?

300

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

What is simple random sampling?

300

If P(A|B) = P(A), the events A and B are this.

What is independent?

300

A 95% confidence interval means this.

What is the percentage of intervals containing the true population parameter is 95%?

400

This type of quantitative data can take on any value within a range.

What is continuous data?

400

This measure of central tendency is most affected by extreme outliers. 

What is the mean?

400

This sampling approach divides the population into subgroups before sampling.

What is stratified sampling?

400

This type of distribution includes an infinite number of possible values.

What is a continuous distribution?

400

This provides a range of plausible values for a population parameter?

What is a confidence interval?

500

This graph shows categorical data using rectangular bars.

What is a bar graph?

500

This common mistake assumes correlation implies this.

What is causation?

500

This process helps eliminate selection bias by assigning participants randomly.

What is randomization?

500

In a normal distribution, this percentage of data falls within 1 standard deviation.

What is 68%?

500

This is the default assumption being tested. 

What is the null hypothesis?