In: Statistics and Probability
In this problem, we explore the effect on the standard deviation of adding the same constant to each data value in a data set. Consider the following data set.
12, 6, 11, 10, 15
(a) Use the defining formula, the computation formula, or a
calculator to compute s. (Enter your answer to one decimal
place.)
(b) Add 3 to each data value to get the new data set 15, 9, 14, 13,
18. Compute s. (Enter your answer to one decimal
place.)
(c) Compare the results of parts (a) and (b). In general, how do
you think the standard deviation of a data set changes if the same
constant is added to each data value?
Adding the same constant c to each data value results in the standard deviation remaining the same.
Adding the same constant c to each data value results in the standard deviation increasing by c units.
Adding the same constant c to each data value results in the standard deviation decreasing by c units.
There is no distinct pattern when the same constant is added to each data value in a set.
a)
S.No | X | (X-x̄) | (X-x̄)2 | |
1 | 12 | 1.200 | 1.44000 | |
2 | 6 | -4.800 | 23.04000 | |
3 | 11 | 0.200 | 0.04000 | |
4 | 10 | -0.800 | 0.64000 | |
5 | 15 | 4.200 | 17.64000 | |
Σx | 54 | Σ(X-x̄)2= | 42.8000 | |
x̄=Σx/n | 10.8000 | s2=Σ(x-x̄)2/(n-1)= | 10.70000 | |
s=√s2 = | 3.271 |
s =3.3
b)
S.No | X | (X-x̄) | (X-x̄)2 | |
1 | 15 | 1.200 | 1.44000 | |
2 | 9 | -4.800 | 23.04000 | |
3 | 14 | 0.200 | 0.04000 | |
4 | 13 | -0.800 | 0.64000 | |
5 | 18 | 4.200 | 17.64000 | |
Σx | 69 | Σ(X-x̄)2= | 42.8000 | |
x̄=Σx/n | 13.8000 | s2=Σ(x-x̄)2/(n-1)= | 10.70000 | |
s=√s2 = | 3.271 |
s =3.3
c)
Adding the same constant c to each data value results in the standard deviation remaining the same.