The median is a measure of center. It is the middle data value.

The mode is the measure of center. It is the value that occurs most often. A date set can have 1 mode, more than one mode, or no modes.

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

The 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 from the rest of the data. An outlier will be a value that is either very much larger or smaller that 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 need to have perfect symmetry.

If the distribution has 2 modes (or "humps"), it is bi-modal.

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

The mean is a measure of center. It is the average of the data.

Mean absolute deviation

The M. A. D. is the average distance that the data points in a set of data are from the mean.

The complement of a statistical event is the opposite of the event. It includes all the outcomes that are not part of the orignal event.

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

One of the parts of the box plot, before the median.

Another part of the box plot, after the median.

The probability is the number of favorable outcomes.

These events will never happen.

These events will always happen.

When the event is between unlikely and likely, it is 50/50 chance.

This event will mostly not occur.

There is a higher chance of this event happening.

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Statistics terms

terms NEED TO KNOW ASAP

Question	Answer
Median	The median is a measure of center. It is the middle data value.
Mode	The mode is the measure of center. It is the value that occurs most often. A date set can have 1 mode, more than one mode, or no modes.
Range	The range is the measure of variability. A measure of variability describes how the values in a data set vary with a single number.
Inner quartile range	The 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 from the rest of the data. An outlier will be a value that is either very much larger or smaller that 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 need to have perfect symmetry.
Bi-modal	If the distribution has 2 modes (or "humps"), it is bi-modal.
Uniform	If the distribution of data is all the same (or flat) it's a uniform distribution. they have no mode and are also considered symmetrical.
Mean	The mean is a measure of center. It is the average of the data.
Mean absolute deviation	The M. A. D. is the average distance that the data points in a set of data are from the mean.
Complement	The complement of a statistical event is the opposite of the event. It includes all the outcomes that are not part of the orignal event.
Sample Size	The sample size describes the number of data points collected in the sample.
Quartile 1	One of the parts of the box plot, before the median.
Quartile 3	Another part of the box plot, after the median.
Probability	The probability is the number of favorable outcomes.
Impossible	These events will never happen.
Certain	These events will always happen.
Equally probable	When the event is between unlikely and likely, it is 50/50 chance.
Unlikely	This event will mostly not occur.
Likely	There is a higher chance of this event happening.

Created by: user-1969997

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