Stats H Units 1-4 Review (for 3rd 6 weeks test review)

Front

What is the median in a data set?

Back

The median is the middle value when the data set is ordered from least to greatest. If there is an even number of observations, the median is the average of the two middle values.

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is the difference between the first quartile (Q1) and the third quartile (Q3) in a data set. It measures the spread of the middle 50% of the data.

Front

How do you classify data as quantitative or categorical?

Back

Quantitative data consists of numerical values that can be measured, while categorical data represents characteristics or qualities that can be divided into groups.

Front

What does it mean if data is skewed right?

Back

If data is skewed right, it means that the tail on the right side of the distribution is longer or fatter than the left side, indicating that there are a few high values.

Front

What is a stratified sampling design?

Back

Stratified sampling involves dividing the population into subgroups (strata) and then taking a random sample from each stratum to ensure representation.

Front

What does the correlation coefficient measure?

Back

The correlation coefficient measures the strength and direction of a linear relationship between two quantitative variables.

Front

What is the difference between a population and a sample?

Back

A population includes all members of a specified group, while a sample is a subset of the population used to represent the whole.

Front

What is a box plot?

Back

A box plot is a graphical representation of a data set that shows the median, quartiles, and potential outliers.

Front

What is the purpose of a histogram?

Back

A histogram is used to represent the frequency distribution of numerical data by showing the number of data points that fall within specified ranges (bins).

Front

What is a normal distribution?

Back

A normal distribution is a bell-shaped distribution where most of the data points cluster around the mean, and the probabilities for values further away from the mean taper off equally in both directions.