In: Statistics and Probability
List all 10 possible SRSs of size n = 2, calculate the mean quiz score for each sample, and display the sampling distribution of the sample mean on a dotplot.
The small population of 5 students in the table.
Given are the 5 students with their quiz score
Abigail -10, Bobby -5, Carlos-10, DeAnna -7, Emily-9
Mean of quiz score of these five students,
µ = (10+5+10+7+9)/5
= 8.2
Sample number | Sampled students with quiz score | Sample mean (Average of score) (x̅) | |
1 | Abigail 10 | Bobby 5 | (10+5)/2 = 7.5 |
2 | Abigail 10 | Carlos 10 | (10+10)/2= 10 |
3 | Abigail 10 | DeAnna 7 | (10+7)/2= 8.5 |
4 | Abigail 10 | Emily 9 | 9.5 |
5 | Bobby5 | Carlos 10 | 7.5 |
6 | Bobby5 | DeAnna 7 | 6 |
7 | Bobby5 | Emily 9 | 7 |
8 | Carlos10 | DeAnna 7 | 8.5 |
9 | Carlos10 | Emily 9 | 9.5 |
10 | DeAnna7 | Emily 9 | 8 |
Therefore sampling distribution of Sample mean is
Sample mean | Frequency |
6 | 1 |
7 | 1 |
7.5 | 2 |
8 | 1 |
8.5 | 2 |
9.5 | 2 |
10 | 1 |
Dot Plot
We will find Average of sample mean,
Sample mean(x̅) | Frequency(f) | fx̅ |
6 | 1 | 6 |
7 | 1 | 7 |
7.5 | 2 | 15 |
8 | 1 | 8 |
8.5 | 2 | 17 |
9.5 | 2 | 19 |
10 | 1 | 10 |
Total | 82 |
Average of sample mean,
E(x̅) = Σf*x̅/Σf
= 82/10
= 8.2
Hence E(x̅ ) = µ
Sample mean is unbiased estimate of population mean.
Sample mean is unbiased estimate of population mean.