In: Statistics and Probability
A survey shows that 81% of households in the United States own a computer. You randomly select 12 households and ask if they own a computer. Answer the following questions. 1) Identify n 2) Identify p 3) Calculate 1 - p 4) Find the probability that exactly 6 of them respond yes 5) Find the probability that at least 6 of them respond yes 6) Find the probability that fewer than 6 of them respond yes 7) Find the probability that between 5 and 10 of them (inclusive) respond yes 8) Find the probability that no more than 8 of them respond yes 9) Find the probability that more than 9 of them respond yes 10) What is the expected (mean) number of “yes” response? 11) What is the standard deviation of the expected (mean) number of “yes” response?
1) Identify n
12
2) Identify p
81%
3) Calculate 1 - p
1-81% = 19%
To answer the following question, let us first describe the distribution of X, where X is the number of people who own a computer.
X ~ Binomial(12,0.81) with the following probability distribution:
X | P(X=x) |
0 | 0.000000002 |
1 | 0.000000113 |
2 | 0.000002655 |
3 | 0.000037728 |
4 | 0.000361888 |
5 | 0.002468457 |
6 | 0.012277323 |
7 | 0.044863001 |
8 | 0.119536285 |
9 | 0.226489803 |
10 | 0.289668537 |
11 | 0.224527766 |
12 | 0.079766443 |
4) Find the probability that exactly 6 of them respond yes
P(X=6) = 0.01227732324
5) Find the probability that at least 6 of them respond yes
P(X>=6) = 0.997129157522091
6) Find the probability that fewer than 6 of them respond yes 7)
P(X<6) = 1 -0.997129157522091 = 0.00287084247790914
Find the probability that between 5 and 10 of them (inclusive) respond yes
P(5<=X<=10) = 0.695303405271898
8) Find the probability that no more than 8 of them respond yes
P(X<=8) = 0.179547451227308
9) Find the probability that more than 9 of them respond yes
P(X>9) = 0.593962746002227
10) What is the expected (mean) number of “yes” response?
E(X) = n * p = 12 * 0.81 = 9.72
11) What is the standard deviation of the expected (mean) number of “yes” response?
SD(X) = (n * p * (1-p))0.5 = (1.8468)0.5 = 1.35897019834874
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