The median is a measure of center. It is the middle data value. To find the median, order the values from least to greatest, then find the middle value.

The mode is a measure of center. It is the value that occurs most often. A data set can have one mode, no mode, or more than one mode.

The range is a measure of variability. A measure of variability describes how the values in a data set vary with a single number. The range is the difference of the greatest value and the least value.

The Interquartile range (IQR) is a measure of variability. It represents the difference between the third quartile and the first quartile.

An outlier is a data point that varies significantly from the rest of the data. An outlier will be a value that is either significantly larger or smaller than other observations.

If the distribution has a long tail extending to the left, it is skewed to the left (or is left-skewed).

If the distribution has a long tail extending to the right, it is skewed to the right (or is right-skewed).

The shape perfectly symmetric, because it can be divided into two halves (a left half and a right half) that are mirror images of each other. They do not have to have perfect symmetry.

If the distribution has two modes (or "humps"), it is bimodal.

If the distribution of data is all the same (or flat) it is a uniform distribution. Uniform distributions have no mode and are also considered symmetrical.

The mean is a measure of center. It is the average of the data. To find the mean, add all the data points and divide by the number of data points.

Mean absolute deviation

Mean absolute deviation is the average distance that the data points in a set of data are from the mean. Steps: Find the mean, find the distances in the table from the mean, add those distances, find the average of those distances, round to the tenths.

Sample size describes the number of data points collected in the sample.

First quartile is the the first half of the median.

Third quartile is the second half of the median.

Probability is the likelihood that an event will happen and can be given a number value.

Unlikely events are closer to impossible.

Likely events are closer to certain.

Complement of a statistical event is the opposite of the event. It includes all the outcomes that are not part of the original event.

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Statistics

Term	Definition
Median	The median is a measure of center. It is the middle data value. To find the median, order the values from least to greatest, then find the middle value.
Mode	The mode is a measure of center. It is the value that occurs most often. A data set can have one mode, no mode, or more than one mode.
Range	The range is a measure of variability. A measure of variability describes how the values in a data set vary with a single number. The range is the difference of the greatest value and the least value.
Inner Quartile Range	The Interquartile range (IQR) is a measure of variability. It represents the difference between the third quartile and the first quartile.
Outlier	An outlier is a data point that varies significantly from the rest of the data. An outlier will be a value that is either significantly larger or smaller than other observations.
Skewed-left	If the distribution has a long tail extending to the left, it is skewed to the left (or is left-skewed).
Skewed-right	If the distribution has a long tail extending to the right, it is skewed to the right (or is right-skewed).
Symmetrical	The shape perfectly symmetric, because it can be divided into two halves (a left half and a right half) that are mirror images of each other. They do not have to have perfect symmetry.
Bi-modal	If the distribution has two modes (or "humps"), it is bimodal.
Uniform	If the distribution of data is all the same (or flat) it is a uniform distribution. Uniform distributions have no mode and are also considered symmetrical.
Mean	The mean is a measure of center. It is the average of the data. To find the mean, add all the data points and divide by the number of data points.
Mean absolute deviation	Mean absolute deviation is the average distance that the data points in a set of data are from the mean. Steps: Find the mean, find the distances in the table from the mean, add those distances, find the average of those distances, round to the tenths.
Sample size	Sample size describes the number of data points collected in the sample.
Quartile 1	First quartile is the the first half of the median.
Quartile 3	Third quartile is the second half of the median.
Probability	Probability is the likelihood that an event will happen and can be given a number value.
Impossible	Can never happen.
Certain	Will most likely happen.
Equally probable/Equally likely	50% you get it correct.
Unlikely	Unlikely events are closer to impossible.
Likely	Likely events are closer to certain.
Complement	Complement of a statistical event is the opposite of the event. It includes all the outcomes that are not part of the original event.

Created by: user-1970344

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