In: Statistics and Probability
A survey of 16 energy drinks noted the caffeine concentration of each drink in milligrams per ounce. The results are given in the table below.
Concentration of caffeine (mg/oz)
9.1 8.9 7.4 7.8 7.7 8.9 8.9 9.0 9.0 9.1 8.2 9.0 9.2 8.1 8.6 9.0
Find the mean and sample standard deviation of these data. Round to the nearest hundredth.
A. mean
B. sample standard deviation
Solution:
The formulas for mean, variance, and standard deviation for sample are given as below:
Sample Mean = X̄ = ∑ X/n
Sample Variance = S2 = ∑[ (X - mean)^2]/(n - 1)
Sample Standard deviation = S = Sqrt(S2) = Sqrt(Variance)
The calculation table is given as below:
No. |
X |
(X - mean)^2 |
1 |
9.1 |
0.231601562 |
2 |
8.9 |
0.079101563 |
3 |
7.4 |
1.485351563 |
4 |
7.8 |
0.670351563 |
5 |
7.7 |
0.844101563 |
6 |
8.9 |
0.079101563 |
7 |
8.9 |
0.079101563 |
8 |
9 |
0.145351563 |
9 |
9 |
0.145351563 |
10 |
9.1 |
0.231601562 |
11 |
8.2 |
0.175351563 |
12 |
9 |
0.145351563 |
13 |
9.2 |
0.337851562 |
14 |
8.1 |
0.269101563 |
15 |
8.6 |
0.000351563 |
16 |
9 |
0.145351563 |
Total |
137.9 |
5.064375 |
From above table, we have
n = 16
Sample Mean = X̄ = 137.9/16 = 8.61875
Sample mean = 8.62
Sample Variance = S2 = 5.064375/(16 - 1) = 0.337625
Sample Standard deviation = S =sqrt(0.337625) = 0.581055075
Sample Standard deviation = 0.58