Compute the following binomial probabilities directly from the formula for b(x; n, p). (Round your answers to three decimal places.) (a) b(5; 8, 0.3) 0.037 (b) b(6; 8, 0.55) X (c) P(3 ≤ x ≤ 5) when n = 7 and p = 0.65
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Since you have posted a question with multiple sub-parts, we will solve first three sub-
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The formula of the pdf of the binomial distribution is,
Where,
p denotes the probability of success,
n denotes the sample size
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- What is the decision rule for this test? Select one: a. Reject Ho if (n-1) s/%o > x-1, or x-1,a c. Reject Ho if (n-1) s²/o > x²-1.x d. Reject Ho if (n-1) s/%o >x-1,1-Answer all 4 parts correctly please. I will rate accordingly.Q8. If the experiment for tossing unfair coin 10 times, which satisfies all binomial conditions, and P(H) = 1/32 then the Probability of getting three heads is 40(2/3)7 20(2/3)7 80(2/3)7 otherwise
- 9. By rewriting the formula for the Multiplication Rule, you can write a formula for finding P(A and B) conditional probabilities. The conditional probability of event B occurring, given that event A has occurred, is P(B| A) = P(A) the information below to find the probability that a flight arrives on time given that it departed on time. The probability that an airplane flight departs on time is 0.92. The probability that a flight arrives on time is 0.86. The probability that a flight departs and arrives on time is 0.83. The probability that a flight arrives on time given that it departed on time is (Round to the nearest thousandth as needed.) . UseHere is a few scenarios where I want you to describe how you would set up either binomialcdf or binomialpdf on your calculators. Use correct probability notation (ex P(X = 3) = .1314), and for the inequalities give a brief example of which values for X you are trying to "include" in your calculation, and the logic behind why you are setting up your calculator function in a given way. A Multiple Choice test is given consisting of 10 questions, each question having 5 possible answers, one of which is correct. Jimmy hasn't studied and prepared himself for the test, and is therefore forced to completely guess on each question. Find the probability that: (1) He gets exactly 5 (half) of the questions correct (2) He gets ALL the questions correct (3) He gets NONE of the questions correct (4) He gets at least a 60% (passing) on the test. (5) He gets at most 5 correct.Q1: Calculate the 4th term for a probability of success of 0.6 if the probability has Binomial PMF
- which expressions correctly describes the experimental probability, P(B), where n(B) is the number of times event B occurred and n(T) is the total number of trials, T, in the experiment? a) P(B) = n(B) x n(T) b) P(B) = n(N) + n(T) c) P(B) = n(T)/n(B) d) P(B) = n(B)/n(T)For the M/M/N/o system, the probability that an arrival will find all servers busy and will be forced to wait in queue is an important measure of performance of the M/M/N/∞ system. This probability is given by PQ N!(1 – p/N) | and is known as the Erlang C formula. Please derive the equation. What is the expected number of customers waiting in the queue (not in service)?There are two coins, one with probability p1 of getting Heads and the other with probabilityp2 of getting heads. One of the coins is randomly chosen (with equal probabilities for thetwo coins). It is then flipped n ≥ 2 times. Let X be the number of times it lands Heads.(a) Find the PMF of X. Your answer should be a formula involving n, k, p1,and p2. (Hint: Law of Total Probability.)(b) What is the distribution of X if p1 = p2?
- Can you help me with Part DA box in a supply room contains 24 compact fluorescent lightbulbs, of which 8 are rated 13-watt, 9 are rated 18-watt, and 7 are rated 23-watt. Suppose that three of these bulbs are randomly selected. (Round your answers to three decimal places.) *****-+ in the probability it exactly two of the selected hulhe 1 na is the ph that all the -ina? "'? (d) If bulbs are selected one by one until a 23-watt bulb is obtained, what is the probability that it is necessary to examine at least 6 bulbs?Compute the following binomial probabilities directly from the formula for b(x; n, p). (Round your answers to three decimal places.) (a) b(5; 8, 0.3) (b) b(6; 8, 0.65) (c) P(3 ≤x≤ 5) when n = 7 and p = 0.55 (d) P(1 ≤X) when n = 9 and p = 0.15