554 Chapter 9. Essential Statistics for Data Analysis
generally given for different degrees of freedom and levels of significance. The total
degrees of freedom for the dataset are given by
ν =(N 1 −1) + (N 2 −1)
= N 1 +N 2 − 2. (9.6.5)
The choice of level of significance depends on the level of confidence one intends to
have on the analysis. If one chooses a value of 0.05 and the calculatedtvalue turns
out to be less than the tabulated one, then one could say with 95% confidence that
the means are not significantly different.
Example:
An ionization chamber is used to measure the intensity of x-rays from an
x-ray machine. The experiment is performed at two different times and yield
the following values (arbitrary units).
Measurement-1: 380, 398, 420, 405, 378
Measurement-2: 370, 385, 400, 419, 415, 375
Perform Student’sttest at 95% and 99% confidence levels to see if the means
of the two measurements are significantly different from each other.
Solution:
First we compute the means of the two datasets.
x ̄ 1 =
∑N^1
i=1
x 1 ,i
N 1
= 396. 2
x ̄ 2 =
∑N^2
i=1
x 2 ,i
N 2
= 394
Next we determine the standard deviations of the two means.
σ 1 =
1
N 1 − 1
∑N^1
i=1
(x 1 ,i−x ̄ 1 )^2
=17. 61
σ 2 =
1
N 2 − 1
∑N^2
i=1
(x 2 ,i−x ̄ 2 )^2
=20. 59