Measures of Central Tendency and Dispersion Quiz

What is the mean of a data set?

• The first quartile of the data set

• The difference between the maximum and minimum values

• The average of the data values

• The middle value of an ordered data set

How is the median determined?

• By sorting the data and finding the middle value

• By averaging the first and last values

• By calculating the average of all data values

• By finding the maximum value in the data set

What does a small measure of dispersion indicate?

• The data are spread out over a large region

• The data are all identical

• The data are clustered in a small region

• The data have a high variance

What is the range of a data set?

• The average of the data values

• The difference between the maximum and minimum values

• The middle value of the data set

• The sum of all data values

What does the five number summary include?

• First quartile, second quartile, third quartile, maximum, mode

• Mean, median, maximum, minimum, standard deviation

• Mean, median, mode, range, variance

• Minimum, first quartile, median, third quartile, maximum

What is a histogram used for?

• To show the relationship between two variables

• To calculate the mean of a data set

• To find the median of a data set

• To represent how many times different events are observed

What is a frequency polygon?

• A method to calculate the mean

• A type of box and whisker diagram

• A graphical representation of cumulative frequency

• A line connecting the midpoints of histogram bars

What is an ogive?

• A method for calculating variance

• A type of histogram

• A plot of cumulative frequency

• A measure of central tendency

What does variance measure?

• The difference between the maximum and minimum values

• The total number of data values

• The average squared distance from the mean

• The average distance between data values

What is the standard deviation?

• The median of the data set

• The average of the data values

• The square of the variance

• The square root of the variance