Unit 7 review

Front

What is the mean of a set of numbers?

Back

The mean is the average of a set of numbers, calculated by adding all the numbers together and dividing by the count of numbers.

Tags

CCSS.6.SP.B.5C

Front

How do you find the mode of a data set?

Back

The mode is the number that appears most frequently in a data set.

Tags

CCSS.6.SP.B.5C

Front

What is the interquartile range (IQR)?

Back

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

Tags

CCSS.6.SP.B.5C

Front

What is a five-number summary?

Back

A five-number summary includes the minimum, first quartile (Q1), median, third quartile (Q3), and maximum of a data set.

Tags

CCSS.6.SP.B.5B

Front

How do you calculate the median of a data set?

Back

To find the median, arrange the numbers in ascending order and identify the middle number. If there is an even number of observations, the median is the average of the two middle numbers.

Tags

CCSS.6.SP.B.5C

Front

What is a boxplot?

Back

A boxplot is a graphical representation of a data set that displays the five-number summary and highlights the distribution and potential outliers.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What does it mean if a data set is skewed?

Back

A data set is skewed if it is not symmetrical, meaning one tail is longer or fatter than the other, indicating that the mean and median will differ.

Front

What is the difference between mean and median?

Back

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

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

Front

How do you interpret a boxplot?

Back

A boxplot shows the distribution of data through its quartiles, indicating the median, range, and potential outliers.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is an outlier in a data set?

Back

An outlier is a value that is significantly higher or lower than the other values in a data set, which can affect statistical analyses.