6&7 6. Pollution of the rivers in the United States has been a problenm for many...
Pollution of the rivers in the United States has been a problem for many years. Consider the following events: A: the river is polluted, B: a sample of water tested detects pollution, C: fishing is permitted. Assume P(A): 0.3, P(BIA)-0.75, P(B | A)0.20, P(C |An B) 0.20, P(C | A, n B)-0.15. P(C | An B')-0.80. (a) Find P(AnBnC). (b) Find P(B'nC). (c) Find the probability that the river is polluted, given that fishing is permitted and the sample tested...
b, c and d please
6. Pollution of the rivers in the United States has been a problem for many years. Consider the following events: A: the river is polluted B: a sample of water tested detects pollution C: fishing is permitted Assume P(A) = 0.3, 0.20, P(B | A) = 0.75, P(C | A n B-0.20 Pl B l A') P(CI A'n B) 0.15, P(CI An') 0.80, P(C I A'nB) 0.90 (a) Find P(AnBnc). (b) Find P(B'nc). (c) Find...
Need question: b, c and d
The answer of A is 0.084
6. Pollution of the rivers in the United States has been a problem for many years. Consider the following events: A: the river is polluted B: a sample of water tested detects pollution, C: fishing is permitted. Assume P(A)-0.3, P(B | A)-0.75, A) 0.20, P(C|AnB)0.20, P(B P(C I A'n B)0.15, P(CI An B') 0.80 P(CI A'n B)0.90 (a) Find P(AnBnc) (b) Find P(B'nC). (c) Find the probability that...
7. Let C represent the event that a person has cancer. Let D represent the event that a person is diagnosed with cancer. In a certain region of the country it is known from pasit experience that the probability of selecting an adult over 40 years of age with cancer is 0.08. The probability of a doctor correctly diagnosing a person with cancer as having the disease is P(D C) 0.84, and the probability of incorrectly diagnosing a person without...
7. Let C represent the event that a person has cancer. Let D represent the event that a person is diagnosed with cancer. In a certain region of the country it is known from past experience that the probability of selecting an adult over 40 years of age with cancer is 0.08. The probability of a doctor correctly diagnosing a person with cancer as having the disease is P(D C) 0.84, and the probability of incorrectly diagnosing a person without...
The probability that a person in the United States has type B+ blood is 10%. Three unrelated people in the United States are selected at random. Complete parts (a) through (d). (a) Find the probability that all three have type B+ blood. (Round to six decimal places as needed) (b) Find the probability that none of the three have type B+ blood. (round to six decimal places) (c) Find the probability that at least one of the three has type...
3119A (Read-Cnly] Word The breaking strength of a fabric types A and B has been tested 4 times and found A 4.2,4.5, 3.8, 5.3 psi. B 53, 56, 60, 6.0 (A competing new fabric) Test the claim saying average strength must be the same. Use X values with Cl, use Z/t values and use p values. State the conclusion with p values. Show calculations Answer! Question 4. A random experiment can result in one of the outcomes (a, b, c,...
Have to show work for every problem
4. A company uses three plants to produce a new computer chip. Plant A produces 30% of the chips. Plant B produces 45% of the chips. The rest of the chips are produced by plant C. Each plant has its own defectiv rate. These are: plant A produces 3% defective chips, plant B produces 1% defective chips, plant C produces 5% defective chips. Hint: draw a tree diagram. (a) Construct a tree diagram...
QUESTION 6 There are 12 signs of the Zodiac: Aries, Taurus, Gemini, Cancer, Leo, Virgo, Libra, Scorpio, Sagittarius, Capricorn, Aquarius, and Pisces. Each sign corresponds to a different calendar period of approximately 1 month. Assuming that a person is just as likely to be born under one sign as another, what is the probability that in a group of five people at least two of them were born under the sign of Aries? Da. 0.082 b.0.901 Dc. 0.205 d.0.059 e.0.515...
1. Many companies use a 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 n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...