Question 6

3% of electronic components are known to be defective in a lot of 600 parts. A sample of size 40 is taken from the lot. What is the probability of having less than 3 defective parts in the lot? Which distribution should be used to determine the probability?

Group of answer choices

Poisson because I can count the defective units that are there, but not count the ones that are not there.

Binomial because parts can be either defective or not defective and the defective rate does not change with each part drawn.

Poisson estimation of binomial because the sample size is large and probability is small

Binomial estimation of hypergeometric because the change in the probability of being defective is very small as each part is taken from the sample for inspection.

Question 7

A batch of 40 parts contains 10 defective parts. If a sample of 6 is selected. What is the probability of exactly 1 defective part in the sample?

Group of answer choices

(51)(3010)(406)

(61)(0.20)1(0.80)5

(406)(0.20)1(0.80)5

(101)(305)(406)

Question 8

A student takes a quiz that contains 10 multiple choice questions, each with 4 responses with only one correct answer per question. The student did not study and guesses at every question. What is the probability of the student getting exactly 4 questions correct on the quiz?

Group of answer choices

0.0563

0.2816

0.1460

0.2503

Question 9

The road works department is creating a budget and must assess the likelihood of accidents at various intersections in the county. A major intersection has averaged 4 reportable accidents per year. What is the probability of no accidents in the next year?

Group of answer choices

0.2212

0.0183

0.7780

Cannot be determined

Question 10

Fishing is popular at Lake Louise where on average a fisherman will catch 1 fish per hour. A man wants a fish for his evening meal and fishes for 2 hours. What is the probability that he will not have a fish for dinner?

Group of answer choices

0.368

0.135

0.226

0.106