In: Statistics and Probability
The purpose of this Question is to investigate some of the properties of the binomial probability distribution using Microsoft Excel. a. Suppose that for a binomial experiment with n = 15 trials, the probability of success is p = 0.10, and x is the number of successes. Obtain the probability distribution of x. Make a histogram for the probability distribution and comment on its shape. Find the mean and standard deviation of x. b. Suppose that for a binomial experiment with n = 15 trials, the probability of success is p = 0.50, and x is the number of successes. Obtain the probability distribution of x. Make a histogram for the probability distribution and comment on its shape. Find the mean and standard deviation of x. c. Which of the distributions in parts a–b had the greatest variability in the number of successes? Why does this make sense?
Result:
The purpose of this Question is to investigate some of the properties of the binomial probability distribution using Microsoft Excel.
a. Suppose that for a binomial experiment with n = 15 trials, the probability of success is p = 0.10, and x is the number of successes. Obtain the probability distribution of x. Make a histogram for the probability distribution and comment on its shape. Find the mean and standard deviation of x.
Expectation = np = 1.5
Variance = np(1 - p) = 1.35
Standard deviation = 1.1619
Binomial Probabilities |
||
Data |
||
Sample size |
15 |
|
Probability of an event of interest |
0.10 |
|
Statistics |
||
Mean |
1.5 |
|
Variance |
1.3500 |
|
Standard deviation |
1.1619 |
|
Binomial Probabilities Table |
||
X |
P(X) |
|
0 |
0.2059 |
|
1 |
0.3432 |
|
2 |
0.2669 |
|
3 |
0.1285 |
|
4 |
0.0428 |
|
5 |
0.0105 |
|
6 |
0.0019 |
|
7 |
0.0003 |
|
8 |
0.0000 |
|
9 |
0.0000 |
|
10 |
0.0000 |
|
11 |
0.0000 |
|
12 |
0.0000 |
|
13 |
0.0000 |
|
14 |
0.0000 |
|
15 |
0.0000 |
The shape of the distribution is right skewed.
b. Suppose that for a binomial experiment with n = 15 trials, the probability of success is p = 0.50, and x is the number of successes. Obtain the probability distribution of x. Make a histogram for the probability distribution and comment on its shape. Find the mean and standard deviation of x.
Binomial Probabilities |
||
Data |
||
Sample size |
15 |
|
Probability of an event of interest |
0.5 |
|
Statistics |
||
Mean |
7.5 |
|
Variance |
3.7500 |
|
Standard deviation |
1.9365 |
|
Binomial Probabilities Table |
||
X |
P(X) |
|
0 |
0.0000 |
|
1 |
0.0005 |
|
2 |
0.0032 |
|
3 |
0.0139 |
|
4 |
0.0417 |
|
5 |
0.0916 |
|
6 |
0.1527 |
|
7 |
0.1964 |
|
8 |
0.1964 |
|
9 |
0.1527 |
|
10 |
0.0916 |
|
11 |
0.0417 |
|
12 |
0.0139 |
|
13 |
0.0032 |
|
14 |
0.0005 |
|
15 |
0.0000 |
The shape of the distribution is bell shaped, symmetric.
c. Which of the distributions in parts a–b had the greatest variability in the number of successes? Why does this make sense?
The distribution with in part b ( n=15, p=0.50)had the greatest variability in the number of successes. This is because , for the same n > 1, as P tends to zero, variance, P(1 – P) will also tend to 0. Variance is maximum when p is 0.5.