A. Identify the word being described.
______________________1. The measure of how data points differ from the mean.
It is the average of the squared differences from the mean.
______________________2. The most reliable measure of variability, this will be
measure in the same units as the original data.
______________________3. The square root of the variance.
______________________1. The measure of how data points differ from the mean.
It is the average of the squared differences from the mean.
______________________2. The most reliable measure of variability, this will be
measure in the same units as the original data.
______________________3. The square root of the variance.
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Answer:
1. Variance
2. Standard Deviation
3. Standard Deviation
Step-by-step explanation:
correct me if I'm wrong
Answer:
1.VARIANCE
Standard deviation looks at how spread out a group of numbers is from the mean, by looking at the square root of the variance. The variance measures the average degree to which each point differs from the mean—the average of all data points.
VARIANCE
The Variance is defined as: The average of the squared differences from the Mean. ... Work out the Mean (the simple average of the numbers) Then for each number: subtract the Mean and square the result (the squared difference).
2.STANDARD DEVIATION
The standard deviation is the most commonly used and the most important measure of variability. Standard deviation uses the mean of the distribution as a reference point and measures variability by considering the distance between each score and the mean.
In statistics, the standard deviation is a very common measure of dispersion. Standard deviation measures how spread out the values in a data set are around the mean. ... The standard deviation is always a positive number and is always measured in the same units as the original data.
3.Standard deviation is a statistic that looks at how far from the mean a group of numbers is, by using the square root of the variance.
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