New Concept A measure of central tendency is a value that describes the center of a data set. Measures of central tendency include the mean, median, and mode. What’s next This lesson is our foundation. You'll soon tackle worked examples for calculating mean, median, and mode, and analyze how outliers affect data.
Section 1
📘 Analyzing Measures of Central Tendency
A measure of central tendency is a value that describes the center of a data set. Measures of central tendency include the mean, median, and mode.
This lesson is our foundation. You'll soon tackle worked examples for calculating mean, median, and mode, and analyze how outliers affect data.
Section 2
Measure Of Central Tendency
A value describing the data's center. Mean is the average. Median is the middle number in an ordered set. Mode is the most frequent value.
For the set \{2, 5, 5, 8, 10\}, the Mean is
These tools help you find the 'typical' value in a data set. The mean calculates the average, the median finds the literal middle, and the mode spots the most popular number.
Section 3
Range of A Set of Data
The range of a set of data is the difference between the greatest and least values in the data set. It shows how spread out the data is.
For the data set \{10, 2, 8, 15, 5\}, the Range is
Range reveals your data's personality! A huge range means the data is wild and unpredictable. A small range means all the values are cozy and similar.
Section 4
Outlier
An outlier is a data value much greater or less than other values in a set. It's an extreme value that doesn't seem to fit with the rest of the data.
In the set \{5, 8, 7, 6, 45\}, the outlier is 45.
The mean is 14.2 with the outlier, but only 6.5 without it, showing its large effect.
Think of an outlier as a data rebel! This lone number can pull the mean way up or down, giving a skewed idea of the average. Always look for these.
Book overview
Jump across lessons in the current chapter without opening the full course modal.
Continue this chapter
Expand to review the lesson summary and core properties.
Section 1
📘 Analyzing Measures of Central Tendency
A measure of central tendency is a value that describes the center of a data set. Measures of central tendency include the mean, median, and mode.
This lesson is our foundation. You'll soon tackle worked examples for calculating mean, median, and mode, and analyze how outliers affect data.
Section 2
Measure Of Central Tendency
A value describing the data's center. Mean is the average. Median is the middle number in an ordered set. Mode is the most frequent value.
For the set \{2, 5, 5, 8, 10\}, the Mean is
These tools help you find the 'typical' value in a data set. The mean calculates the average, the median finds the literal middle, and the mode spots the most popular number.
Section 3
Range of A Set of Data
The range of a set of data is the difference between the greatest and least values in the data set. It shows how spread out the data is.
For the data set \{10, 2, 8, 15, 5\}, the Range is
Range reveals your data's personality! A huge range means the data is wild and unpredictable. A small range means all the values are cozy and similar.
Section 4
Outlier
An outlier is a data value much greater or less than other values in a set. It's an extreme value that doesn't seem to fit with the rest of the data.
In the set \{5, 8, 7, 6, 45\}, the outlier is 45.
The mean is 14.2 with the outlier, but only 6.5 without it, showing its large effect.
Think of an outlier as a data rebel! This lone number can pull the mean way up or down, giving a skewed idea of the average. Always look for these.
Book overview
Jump across lessons in the current chapter without opening the full course modal.
Continue this chapter