Binomial Distribution
If 'x' is the random variable representing the number of successes, the probability of getting ‘r’ successes and ‘n-r’ failures, in 'n' trails, ‘p’ probability of success; ‘q’=(1-p) is given by the probability function
For the given problem,
'x' random varible representing: Number of defective calculators ;
Number of trails : n : 4
p : Probability that a calculator is defective = 10/100 = 0.10
q : 1-p = 1-0.10 = 0.90
Probability that none (i.e x =0) in a random sample of four calculators is defective : p(x=0)
Ans : 0.6561
D Question 13 5 pts It is known that 10% of the calculators shipped from a...
10. Multiple Choice Question It is known that a particular company produces products of which 30% are defective. We select items at random and identify it as being defective or not. Calculate the probability that the sixth selected item will be the 3rd defective. A. 0.38282 B. 0.09261 C. 0.24518 D. 0.75494 E. none of the above 11. Multiple Choice Question Let X1,..., X10 be a random sample from a population with mean y and variance o?. Consider the following...
A sample of 5 different calculators is randomly selected from a group containing 10 that are defective and 8 that have no defects. Assume that the sample is taken with replacement. What is the probability that at least one of the calculators is defective? Express your answer as a percentage rounded to the nearest hundredth.
Question 10 A basket contains 6 oranges and 4 tangerines. A sample of 3 is drawn. Find the proba- bility that they are all oranges. Question 11 A batch of 100 calculators contains 5 defective calculators. If 6 calculators are selected at random from this batch, determine the probability that exactly two of those selected are defective. Question 12 A student takes a true-false test consisting of 12 questions. Assuming that the student guesses at each question, find the probability...
Question 53 (20 points) The J.O. Supplies Company buys calculators from a Korean supplier. The probability of a defective calculator is 10%. If 14 calculators are selected at random, what is the probability that less than 5 of the calculators will be defective? (Ch.6) I U Format
Many companies use a quality control technique called acceptance sampling to monitor incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of 40 components can be viewed as the 40 trials of a binomial experiment. The outcome for each component tested (trial) will be that the component is classified as good or defective. Reynolds Electronics accepts a lot from a particular supplier...
Find the indicated binomial probability. A company manufactures calculators in batches of 64 and there is a 4% rate of defects. Find the probability of getting exactly 5 defects in a batch 0.7808 0.0018 2141 0.0702 None of these Question 4 10 pts Find the area under the standard normal curve. P(-2.13<Z<1.16) Round to four decimals. 0.7256 0.8604 0.6713 .9712 None of these
Save Homework: Section 5.4 Homework Score: 0 of 10 pts 13 of 13 (9 complete) HW Score: 37.96%, 52 o... 5.4.39 Assigned Media Question Help Suppose that a computer chip company has just shipped 5,000 computer chips to a computer company. Unfortunately, 60 of the chips are defective. (a) Compute the probability that two randomly selected chips are defective using conditional probability. 60 (b) The probability that the first randomly selected chip is defective is 000=0.012 = 1.2%. Compute the...
Question 6 2 pts The expected value of a binomial probability distribution with n = 13 and p = 0.58 is O 22.4 O 0.580 Not enough information to answer the question O 7.54 42.0 58.0 5.46 None of the given numerical values is correct
Question 10 > 0/2 pts 399 Details Suppose that a box contains 8 cameras and that 4 of them are defective. A sample of 2 cameras is selected at random. Define the random variable X as the number of defective cameras in the sample. Write the probability distribution for X. k P(X = k) What is the expected value of X? Question Help: D Post to forum Submit Question
i need help with part D mostly 1. (10 pts) A random variable X is known to have the following probability distribution: x 012 P(x) 0.20 0.30 0.50 (2) (a) What is P(1 < X < 2)? (1) (b) What is E(X)? (c) What is V(X)? (d) Suppose that a random sample of 49 observations, given by {X, X, X), is taken from a population with the same probability distribution p(x) above. Let X=?ïx, denote the sample mean. Specify the...