Algebra 1 Statistics Review

Front

What is the interquartile range (IQR)?

Back

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

Front

How do you find the median of a data set?

Back

To find the median, first sort the data in ascending order. If there is an odd number of values, the median is the middle number. If there is an even number of values, the median is the average of the two middle numbers.

Front

What does a left-skewed distribution look like?

Back

A left-skewed distribution has a longer tail on the left side. Most of the data points are concentrated on the right, with fewer values on the left.

Front

How do you calculate the mean of a data set?

Back

To calculate the mean, add all the numbers in the data set together and then divide by the total number of items in the data set.

Front

What is the first step to finding the median?

Back

The first step to finding the median is to sort the data from least to greatest.

Front

What is a box plot?

Back

A box plot is a graphical representation of a data set that shows the minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

Front

What is the purpose of the interquartile range?

Back

The interquartile range is used to measure the variability or spread of a data set, specifically focusing on the middle 50% of the data.

Front

What does it mean if a distribution is symmetric?

Back

A symmetric distribution has a balanced shape, where the left and right sides are mirror images of each other.

Front

What is the difference between mean and median?

Back

The mean is the average of all data points, while the median is the middle value when the data is sorted. The mean can be affected by outliers, while the median is more robust.

Front

What is a histogram?

Back

A histogram is a graphical representation of the distribution of numerical data, showing the frequency of data points within specified ranges (bins).