Q8: Let Ai, 1 < i < n, B;1
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A: as we can see is solution No. of coins tossed = 5 P(H)=12 and P(T)=12
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- Suppose X~N(106,22) what is the probability P(x<114) in a decimal form?, cnd the random variable ) has X , (n-1) what is the Var Ch)Q2: A box containing blue and red balls totaling 18 balls. If another six blue balls add to the box, the probability of drawing a blue ball will be twice that of a red ball. :Determine a) The number of blue balls in * the box before addition 10 O 9. 8 none of all above b) The probability of drawing * blue ball after addition 0.3333 0.4444 0.6667 none of all above bl 7 c) The probability of drawing red * ball before addition 0.3333 0.5556 0.6667 none of all above
- please subsuite the a and b in the quostion11 the probability distribution of discete random variable x is given by p (X=x) = k÷ x+1 for x = 1,2,3 a) find the value of K where K is constant b) compute P(x=2) C) compute p(x=2 or x=3)34 F55) A) hiçbiri /none of them B) 0,397 C) 0,0347 D) 0,00347 E) 0,207
- I only need e) and f)Look at the 4 probability rules beow , an provide a REAL LIFE example for each. Also, with a Real LIfe EXAMPLE, explain how Disjoint events CAN be dependent. Rule 1. The probability P(A) of any event A satisfies 0 ≤ P(A) ≤ 1. Rule 2. If S is the sample space in a probability model, then P(S) = 1. Rule 3. Two events A and B are disjoint if they have no outcomes in common and so can never occur together. If A and B are disjoint, P(A or B) = P(A) + P(B) This is the addition rule for disjoint events. Rule 4. For any event A, P(A does not occur) = 1 − P(A)If we look at college course enrollment it is known that 28% of college students take at least one mathematics or statistics course in a given semester. Suppose we take a random sample of 13 college students in Fall 2019. Let X = the number of these students who are taking at least one mathematics or statistics course. a) What is the probability that X < 5? b) What is the probability that 5 ≤ X ≤ 7? c) What is the probability that X = 7?
- Prove the propertyThe time between arrivals of customers at an automatic teller machine (ATM) is an exponential random variable with a mean of five minutes. a) What is the probability that the time until the third customer arrives in more than 10 minutes? b) what is the value for σ2 for the third customer? c) what is the value for σσ for the third customer ?