Binomial Distribution: 12:17
Notes:
the binomial distribution is a discrete probability distribution
the parameters of binomial distribution are p (probability of success in a single trial) and n (number of trials)
the mean of binomial distribution is np
the standard deviation of binomial distribution is sqrt(npq) q=1-p
1. In the production of bearings, it is found out that 3% of them are defective. In a randomly collected sample
of 10 bearings, what is the probability of
Given: p = 0.03, n = 10 q = 1-p = 0.97
a. 2 of them are defective = p(2) =
b. 3 of them are defective = p(3) =
2. If a production line makes 8 good parts out of 10 parts made, find the mean and standard deviation of good parts out of total 400 parts made?
Given: p = 8/10 = 0.8, n = 400 q = 1-p = 0.2
Mean number of good parts made out of 400 = np =
Standard deviation = sqrt(npq) =
3. Assuming the probability of making a perfect (good) part is ½, find the probability that a sample of 3 parts will have
Given: p = 0.5, q = 1-p = 0.5, n = 3
a. At least one good part
P(1 or 2 or 3 good parts) = 1 - P(x=0 bad parts) =
b. Two good parts
P(x=2 good parts) =
c. At most two good parts
P(0 good parts) or P(1 good part) or P(2 good parts) = P(x=0) + P(x=1) + P(x=2) =
d. At least two good parts
P(2 good parts) or P(3 good parts) = P(x=2) + P(x=3) = 3/8 + 1/8 = 4/8 =
4. The probability of making bad parts on a production line is 60%. If a sample of 5 parts are randomly
selected, how many of them have 3 or more good parts?
Given: p of making good parts = 0.4, p of making bad parts = q=1-p = 0.6
P(x=3 or x=4 or x=5) =
Poisson Distribution:
Notes:
it is a discrete probability distribution
the probability of success is very low
the number of trials (n) is very large
the trials are independent
the only parameter mean is λ = np is finite
the variance is λ
1. At a shopping center, the number of customers appear at the rate of 2 per minute. Find the probability of:\
Given: λ = 2/min
a. No customers appear P(x=0) =
b. Only one customer appears P(x=1) =
c. Only two customers appear P(x=2) =
d. At least two customers appear 1 – [P(x=0) + P(x=1)] =
e. At the most two customers appear P(x=0) + P(x=1) + P(x=2) =
f. Less than three customers appear P(x=0) + P(x=1) + P(x=2) =
2. The average number of car accidents on I-75 is 4 per day. Find the probability of
a. No accidents in a day P(x=0) =
b. At least 2 accidents in a day P(x≥2) = 1 – [P(x=0) + P(x=1)] =
c. At the most 3 accidents P(x≤3) = P(x=0) + P(x=1) + P(x=2) + P(x=3) =
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