CCSS.MATH.CONTENT.6.SP.B.5.C: Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.

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Title Description Thumbnail Image Curriculum Nodes

Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set I In this video tutorial students learn how to calculate the mean when all of the data items are positive numbers. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set II In this video tutorial students learn how to calculate the mean when some of the data items are negative numbers. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Finding the Median of a Data Set In this video tutorial students learn how to find the median of a data set. The mean is also calculated so that students can learn similarities and differences between these two measures of central tendency. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Finding the Mode of a Data Set In this video tutorial students learn how to calculate the mode of a data set, as well as how the mode differs from the mean and median.Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Mean of a Probability Distribution In this video tutorial students learn about the mean of a probability distribution. Includes a brief discussion of expected value, plus a brief tie-in to weighted means. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Sample Mean In this video tutorial students learn about sample mean from a random sampling of data. All examples involve normally distributed data with a known population mean and standard deviation. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: The Mean and Normally Distributed Data In this video tutorial students learn about normally distributed data and how to identify the population mean from the normal distribution. Standard deviation is briefly introduced. Includes three real-world examples.

Data Analysis and Data Gathering

Closed Captioned Video: Measures of Central Tendency: Weighted Mean In this video tutorial students extend their understanding of mean by looking at examples of weighted means (sometimes referred to as weighted averages). Includes three real-world examples.

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