Introduction to variance of a data set:
Data is nothing but a set of information or collection of facts. We can analyze the data’s with the help of charts and graphs. The method of collecting or preparing the data’s is the data collection.
Variance is the term that explains how average value of the data set vary from the measured data.
Variance of Data Set:
Following are the steps involved in finding the variance of data set:
Step 1: First step is to find the Average, that is the arithmetic mean for the given set of numbers.
Mean = Sum of all values / Total number of elements
Step 2: To find the sum of squares for all the given values in the given data set.
Step 3: Divide the result we obtained in Step 2 over the total number of elements in the given data set.
Step 4: Find the difference between the square of mean and the result we obtained from step 3
Step 5: For finding the variance, take the square root of the number that we obtained as a result from step 4.
Thus, using the above steps, we can easily calculate the variance of the given data set.
Between, if you have problem on these topics Absolute Value Equations and Inequalities, please browse expert math related websites for more help on What is the Largest Prime Number.
Solved Examples for Finding Variance of a Data Set:
Ex1: Find the variance of the given data set: { 5, 6, 9, 13, 19 }
Sol:
Step 1: Arithmetic mean = (5 +6 + 9+ 13 + 22) / 5
= 55 / 5
= 11
Step 2: Sum of squares = 52 + 62 + 92 + 132 + 222
= 25 + 36 + 81 + 169 + 484
= 795
Step 3: Sum of squares / Total number of elements
= 795 / 5
= 159
Step 4: Result from Step 3 – square of mean value
= 159 – 112
= 159 – 121
= 38
Step 5: Variance = square root ( 38 )
= 6.16
The variance of the given data set is 6.16
Ex 2: Find the variance of the given data set: { 2, 3, 4, 5,16 }
Sol:
Step 1: Arithmetic mean = (2 +3 + 4+ 5 + 16) / 5
= 30 / 5
= 6
Step 2: Sum of squares = 22 + 32 + 42 + 52 + 162
= 4 + 9 + 16 + 25 + 256
= 310
Step 3: Sum of squares / Total number of elements
= 310 / 5
= 62
Step 4: Result from Step 3 – square of mean value
= 62 – 62
= 62 – 36
= 26
Step 5: Variance = square root ( 26 )
= 5.1
The variance of the given data set is 5.1
Data is nothing but a set of information or collection of facts. We can analyze the data’s with the help of charts and graphs. The method of collecting or preparing the data’s is the data collection.
Variance is the term that explains how average value of the data set vary from the measured data.
Variance of Data Set:
Following are the steps involved in finding the variance of data set:
Step 1: First step is to find the Average, that is the arithmetic mean for the given set of numbers.
Mean = Sum of all values / Total number of elements
Step 2: To find the sum of squares for all the given values in the given data set.
Step 3: Divide the result we obtained in Step 2 over the total number of elements in the given data set.
Step 4: Find the difference between the square of mean and the result we obtained from step 3
Step 5: For finding the variance, take the square root of the number that we obtained as a result from step 4.
Thus, using the above steps, we can easily calculate the variance of the given data set.
Between, if you have problem on these topics Absolute Value Equations and Inequalities, please browse expert math related websites for more help on What is the Largest Prime Number.
Solved Examples for Finding Variance of a Data Set:
Ex1: Find the variance of the given data set: { 5, 6, 9, 13, 19 }
Sol:
Step 1: Arithmetic mean = (5 +6 + 9+ 13 + 22) / 5
= 55 / 5
= 11
Step 2: Sum of squares = 52 + 62 + 92 + 132 + 222
= 25 + 36 + 81 + 169 + 484
= 795
Step 3: Sum of squares / Total number of elements
= 795 / 5
= 159
Step 4: Result from Step 3 – square of mean value
= 159 – 112
= 159 – 121
= 38
Step 5: Variance = square root ( 38 )
= 6.16
The variance of the given data set is 6.16
Ex 2: Find the variance of the given data set: { 2, 3, 4, 5,16 }
Sol:
Step 1: Arithmetic mean = (2 +3 + 4+ 5 + 16) / 5
= 30 / 5
= 6
Step 2: Sum of squares = 22 + 32 + 42 + 52 + 162
= 4 + 9 + 16 + 25 + 256
= 310
Step 3: Sum of squares / Total number of elements
= 310 / 5
= 62
Step 4: Result from Step 3 – square of mean value
= 62 – 62
= 62 – 36
= 26
Step 5: Variance = square root ( 26 )
= 5.1
The variance of the given data set is 5.1
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