Solution - Statistics
Step-by-step explanation
1. Find the sum
Add all the numbers:
The sum equals
2. Find the mean
Divide the sum by the number of terms:
Sum
Number of terms
The mean equals
3. Find the median
Arrange the numbers in ascending order:
21,56,63
Count the number of terms:
There are (3) terms
Because there is an odd number of terms, the middle term is the median:
21,56,63
The median equals 56
4. Find the range
To find the range, subtract the lowest value from the highest value.
The highest value equals 63
The lowest value equals 21
The range equals 42
5. Find the variance
To find the sample variance, find the difference between each term and the mean, square the results, add together all of the squared results, and divide the sum by the number of terms minus 1.
The mean equals 46.667
To get the squared differences, subtract the mean from each term and square the result:
To get the sample variance, add together the squared differences and divide their sum by the number of terms minus 1
Sum:
Number of terms:
Number of terms minus 1:
2
Variance:
The sample variance () equals 506.334
6. Find the standard deviation
The standard deviation of the sample equals the square root of the sample variance. This is why the variance is usually represented by a squared variable.
Variance:
Find the square root:
The standard deviation () equals 22.502
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The science of statistics deals with the collection, analysis, interpretation, and presentation of data, particularly in the contexts of uncertainty and variation. Understanding even the most basic of concepts in statistics can help us better process and understand information that we encounter in our everyday lives! Additionally, more data is collected now, in the 21st century, than ever before in all of human history. As computers have become more powerful, they have made it easier to analyze and interpret ever-larger datasets. Because of this, statistical analysis is becoming increasingly important in many fields, allowing governments and companies to fully understand and react to data.