Summarize Data Using Measures of Central Tendency Math Games
In this series of games, your students will learn to summarize numerical data sets in relation to their context. The Summarize Data Using Measures of Central Tendency learning objective — based on CCSS and state standards — delivers improved student engagement and academic performance in your classroom, as demonstrated by research. This learning objective directly references 6.SP.B.5.c as written in the common core national math standards.
Scroll down for a preview of this learning objective’s games and the concepts.
Describe the spread of the data. Center is measured by the median, a number arrived at by counting to the middle of an ordered array of numerical data. When the data set is even the median will be the average of the two middle numbers.
Quartiles are the medians of the lower and upper halves of the ordered data values – quartiles describe the spread of the data and are found in the same manner as finding the median by finding the middle number of both halves of the data as separated by the median. The quartiles separate the data into 4 sections that each contain the same amount of data points but vary in shape and size. The interquartile range (IQR) is the distance from the first and third quartile and is used to describe the variability of the data set.
Mean is the average of a data set and is found by adding all data points and then dividing by the number of data points. Mean absolute deviation is the average of how much the individual scores of a data set differ from the mean of the set. Distinguish between median and mean. Outliers are numbers that are further in range than the rest of the data points to one extreme. Mean can be heavily influenced by an extreme data point or outlier.
Describe if the data is symmetric and the shape if it is not. Describe the data using the median and the IQR. Identify outliers from the data.
A preview of each game in the learning objective is found below.
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