In: Statistics and Probability
1)In a typical month, an insurance agent presents life insurance plans to 40 potential customers. Historically, one in four such customers chooses to buy life insurance from this agent. You may treat this as a binomial experiment.
What is the probability of success?
What is the total number of trials?
Create a probability distribution table which includes probability of each possible outcome. Also create the cumulative probability column.
What is the probability that exactly five customers will buy life insurance from this agent in the coming month?
What is the probability that no more than 10 customers will buy life insurance from this agent in the coming month?
What is the probability that at least 20 customers will buy life insurance from this agent in the coming month?
Determine the mean and standard deviation of the number of customers who will buy life insurance from this agent in the coming month?
What is the probability that the number of customers who buy life insurance from this agent in the coming month will lie within two standard deviations of the mean?
What is the probability of success?
1/4 = 0.25
What is the total number of trials?
40
Create a probability distribution table which includes probability of each possible outcome. Also create the cumulative probability column.
40 | n | |
0.25 | p | |
cumulative | ||
X | P(X) | probability |
0 | 0.00001 | 0.00001 |
1 | 0.00013 | 0.00014 |
2 | 0.00087 | 0.00102 |
3 | 0.00368 | 0.00470 |
4 | 0.01135 | 0.01604 |
5 | 0.02723 | 0.04327 |
6 | 0.05295 | 0.09622 |
7 | 0.08573 | 0.18195 |
8 | 0.11788 | 0.29983 |
9 | 0.13971 | 0.43954 |
10 | 0.14436 | 0.58390 |
11 | 0.13124 | 0.71514 |
12 | 0.10572 | 0.82087 |
13 | 0.07590 | 0.89677 |
14 | 0.04879 | 0.94556 |
15 | 0.02819 | 0.97376 |
16 | 0.01468 | 0.98844 |
17 | 0.00691 | 0.99535 |
18 | 0.00294 | 0.99829 |
19 | 0.00114 | 0.99943 |
20 | 0.00040 | 0.99983 |
21 | 0.00013 | 0.99995 |
22 | 0.00004 | 0.99999 |
23 | 0.00001 | 1.00000 |
24 | 0.00000 | 1.00000 |
25 | 0.00000 | 1.00000 |
26 | 0.00000 | 1.00000 |
27 | 0.00000 | 1.00000 |
28 | 0.00000 | 1.00000 |
29 | 0.00000 | 1.00000 |
30 | 0.00000 | 1.00000 |
31 | 0.00000 | 1.00000 |
32 | 0.00000 | 1.00000 |
33 | 0.00000 | 1.00000 |
34 | 0.00000 | 1.00000 |
35 | 0.00000 | 1.00000 |
36 | 0.00000 | 1.00000 |
37 | 0.00000 | 1.00000 |
38 | 0.00000 | 1.00000 |
39 | 0.00000 | 1.00000 |
40 | 0.00000 | 1.00000 |
1.00000 | ||
10.000 | expected value | |
7.500 | variance | |
2.739 | standard deviation |
What is the probability that exactly five customers will buy life insurance from this agent in the coming month?
0.02723
What is the probability that no more than 10 customers will buy life insurance from this agent in the coming month?
0.58390
What is the probability that at least 20 customers will buy life insurance from this agent in the coming month?
0.00057
Determine the mean and standard deviation of the number of customers who will buy life insurance from this agent in the coming month?
Mean = 10
Standard deviation = 2.739
What is the probability that the number of customers who buy life insurance from this agent in the coming month will lie within two standard deviations of the mean?
0.9545