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Name Date
Standard Error worksheet
Grade 12 to college
Calcapedia
Solve each problem and show your work. Round answers to 2 decimal places where needed.
1.
Problem 1.
Start from:Raw data
Data set:3, 4, 3, 3, 5, 4, 6, 10
Find: Standard error of the mean
Answer
2.
Problem 2.
Start from:Raw data
Data set:2, 4, 4, 4, 5, 5, 7, 9
Find: Standard error of the mean
Answer
3.
Problem 3.
Start from:Standard deviation and sample size
Sample standard deviation (s):11
Sample size (n):32
Find: Standard error of the mean
Answer
4.
Problem 4.
Start from:Standard deviation and sample size
Sample standard deviation (s):10
Sample size (n):42
Find: Standard error of the mean
Answer
5.
Problem 5.
Start from:Standard deviation and sample size
Sample standard deviation (s):18
Sample size (n):54
Find: Standard error of the mean
Answer
6.
Problem 6.
Start from:Standard deviation and sample size
Sample standard deviation (s):15
Sample size (n):40
Find: Standard error of the mean
Answer
7.
Problem 7.
Start from:Raw data
Data set:2, 4, 4, 3, 4, 3, 7, 8
Find: Standard error of the mean
Answer
8.
Problem 8.
Start from:Standard deviation and sample size
Sample standard deviation (s):18
Sample size (n):32
Find: Standard error of the mean
Answer
9.
Problem 9.
Start from:Standard deviation and sample size
Sample standard deviation (s):14
Sample size (n):24
Find: Standard error of the mean
Answer
10.
Problem 10.
Start from:Raw data
Data set:3, 4, 3, 4, 5, 5, 7, 9
Find: Standard error of the mean
Answer
Answer key: Standard Error worksheet
Calcapedia
1. Standard error of the mean: 0.84
Find the average (mean, x̄) of the 8 values
Find the sample standard deviation s, the typical distance from the average. Square each value's gap from the average, add them, divide by n − 1, then take the square root
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
2. Standard error of the mean: 0.76
Find the average (mean, x̄) of the 8 values
Find the sample standard deviation s, the typical distance from the average. Square each value's gap from the average, add them, divide by n − 1, then take the square root
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
3. Standard error of the mean: 1.94
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
4. Standard error of the mean: 1.54
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
5. Standard error of the mean: 2.45
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
6. Standard error of the mean: 2.37
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
7. Standard error of the mean: 0.73
Find the average (mean, x̄) of the 8 values
Find the sample standard deviation s, the typical distance from the average. Square each value's gap from the average, add them, divide by n − 1, then take the square root
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
8. Standard error of the mean: 3.18
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
9. Standard error of the mean: 2.86
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n
Put in your values of s and n
10. Standard error of the mean: 0.73
Find the average (mean, x̄) of the 8 values
Find the sample standard deviation s, the typical distance from the average. Square each value's gap from the average, add them, divide by n − 1, then take the square root
Averages vary less than single values, so divide the standard deviation s by the square root of the sample size n