Answer:
The probability is 0.971032
Step-by-step explanation:
The variable that says the number of components that fail during the useful life of the product follows a binomial distribution.
The Binomial distribution apply when we have n identical and independent events with a probability p of success and a probability 1-p of not success. Then, the probability that x of the n events are success is given by:

In this case, we have 2000 electronics components with a probability 0.005 of fail during the useful life of the product and a probability 0.995 that each component operates without failure during the useful life of the product. Then, the probability that x components of the 2000 fail is:
(eq. 1)
So, the probability that 5 or more of the original 2000 components fail during the useful life of the product is:
P(x ≥ 5) = P(5) + P(6) + ... + P(1999) + P(2000)
We can also calculated that as:
P(x ≥ 5) = 1 - P(x ≤ 4)
Where P(x ≤ 4) = P(0) + P(1) + P(2) + P(3) + P(4)
Then, if we calculate every probability using eq. 1, we get:
P(x ≤ 4) = 0.000044 + 0.000445 + 0.002235 + 0.007479 + 0.018765
P(x ≤ 4) = 0.028968
Finally, P(x ≥ 5) is:
P(x ≥ 5) = 1 - 0.028968
P(x ≥ 5) = 0.971032
Answer:
Is this a complete question?
Step-by-step explanation:
Sorry there is not enough information. Put all the information given next time.
The biggest key here is identifying outliers. Outliers can pull measures of center either up or down drastically.Notice how the males have a VERY low outlier. This will pull the mean down severely and create a much larger range, or spread.The females have a median of about 12 hours, but have an upper extreme of 19, which compareatively is very high. This creates a larger range as well.
Habib High School had the better record. If we convert 275/300 and 120/150 to fractions Habib High School would have 0.92 percent when compared to 0.80 of Public Hall.
Answer: the answer is C
Step-by-step explanation: