Stem and Leaf Plots, Line Plots, Median, Mode, Range HW

Front

What is a stem and leaf plot?

Back

A stem and leaf plot is a method of displaying quantitative data in a graphical format, similar to a histogram, to retain the original data values while showing their distribution.

Front

How do you determine the median of a data set?

Back

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

Tags

CCSS.6.SP.B.5C

Front

What is the mode of a data set?

Back

The mode is the value that appears most frequently in a data set. A data set may have one mode, more than one mode, or no mode at all.

Tags

CCSS.6.SP.B.5C

Front

How do you calculate the range of a data set?

Back

The range is calculated by subtracting the smallest value in the data set from the largest value.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is a line plot?

Back

A line plot is a simple way to display data along a number line, where each data point is represented by an 'X' or other marker above the corresponding value.

Tags

CCSS.3.MD.B.4

Front

How can you interpret a stem and leaf plot?

Back

To interpret a stem and leaf plot, read the stems (the leading digits) and leaves (the trailing digits) to understand the distribution and frequency of the data.

Front

What does it mean for a team to score more than 20 points in a game?

Back

It means that in the context of the data, the team achieved a score greater than 20 in a specified number of games, indicating their performance level.

Front

How do you find the total number of games played from a data set?

Back

The total number of games played can be found by counting the total entries or observations in the data set.

Tags

CCSS.6.SP.B.5A

Front

What is the significance of knowing how many students got a perfect score?

Back

Knowing how many students achieved a perfect score helps assess the overall performance of the class and the difficulty of the test.

Tags

CCSS.6.SP.B.5A

Front

How do you identify outliers in a data set?

Back

Outliers can be identified by looking for values that are significantly higher or lower than the rest of the data, often using the interquartile range (IQR) method.