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Lesson 1: Measuring center in quantitative data. Statistics intro: Mean, median, & mode. Mean, median, & mode example. Mean, median, and mode. Calculating the mean. Calculating the mean. Calculating the median. Choosing the "best" measure of center.
Introduction to mean, median, and mode in statistics with examples and explanations.
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This unit covers common measures of center like mean and median. We'll also learn to measure spread or variability with standard deviation and interquartile range, and use these ideas to determine what data can be considered an outlier.
The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set. The median is the middle value when a data set is ordered from least to greatest. The mode is the number that occurs most often in a data set.
Review of box plots, including how to create and interpret them.
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Find the mean, median, and mode of the following sets of numbers. And they give us the numbers right over here. So if someone just says the mean, they're really referring to what we typically, in everyday language, call the average.
Learn how to choose the best measure of center: mean, median, or mode.
Range, variance, and standard deviation all measure the spread or variability of a data set in different ways. The range is easy to calculate—it's the difference between the largest and smallest data points in a set. Standard deviation is the square root of the variance. Standard deviation is a measure of how spread out the data is from its mean.