Compute the expected value for X.
Q: Let X be the number of large screen TVs sold daily by a certain appliance retailer. The pmf p(x) of…
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A: ANSWER:- d)After comparing part b and c. We can say that, The probability increases as the…
Q: Y = 0 1 2 X = 0 .10 .25 .25 1.05 a .25 p(v) p(x) Find: (a) a. (b) The marginal probabilities for X…
A: Solution: We need to find the value of constant a and the marginal probabilities for X and Y
Q: 7 0.69 0.11 X 10 14 P(X) | 0.11 0.09 g² = What is the expected value of X?
A: Consider the table:
Q: √x² +²23,0 < x < 1,0 < y < 2, f(x, y) = elsewhere. 0, b. g(x) = 2x (x + 1/3), h(y) = 1/3 + y/6. a.…
A: E(XY)=∫y∫xxy.f(x,y)dxdy
Q: xy (x² + ²/1/2,0 < x < 1,0 < y < 2, f(x, y) = 3 0, elsewhere. b. g(x)= 2x (x + 1/3), h(y)= 1/3 +…
A: E(X)=∫xx.g(x)dx
Q: Experience suggests that an exceptional vocalist receives a standing ovation 90% of the time at your…
A: Given, Experience suggests that an exceptional vocalist receives a standing ovation 90% of the time…
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A: Given: n1 = 9 Children. X1 = 2.7 Hours. n2 = 9 Adults. X2 = 2 Hours. α = 1% = 0.01
Q: Critical Value(s) =
A: The claim is that the values of houses has increases from the last year.For testing the claim, here…
Q: Find the expected value of x
A: Expectation is a concept in probability. It is similar to mean.
Q: P(x) 0.1 0.3 0.2 0.3 0.1 Find (?(?≥1) Find the expected value (mean) of ?.
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Q: expected frequency
A: No Alcohol Low Alcohol Medium Alcohol High Alcohol Marginal Total Never Smokes 450 205 190…
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A: Expected value of no of tails E(x)=11 Hint : X follow binomial distribution (n,p) Then expected…
Q: end of pregancy. The incident of miscarrige was self-reported if occurred. Compute the population…
A: Introduction - Population attributable Risk PAR=Risk(total pop)-Risk(unexposed)Risk(Total Pop)
Q: (b) Find the expected value and variance of the number of drinks. E(Y) = 1.55 Var(Y) = 2.85 (Type…
A: Given: X 1 Sandwich 2 Sandwich Y 1 drink 0.35 0.2 2 drinks 0.1 0.25 3 drinks 0…
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Q: From the table below, find Prof. Robot expected value lateness. X= lateness P (Lateness) on time…
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Q: In tossing 3 fair coins, what is the expected number of heads Let the random variable X…
A: From the provided information, Probability of occurring head (p) = 0.5 Number of trails (n) = 3
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Q: but isn't the expectation alpha times beta rather than alpha divided by beta?
A: In this question, alpha is shape and beta is rate parameters.
Q: X is the number of successes in 10 independent Bernoulli trials. The variance of X is equal to 1/4…
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Q: Stock of a branded product at a local shop is being replenished regularly throughout the day.…
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Q: Calculate the expected value E(X) of the given random variable X. X is the number of tails that come…
A: Answer:- Given, X be a random variable that represents the number of tails that come up when a coin…
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- Which investment has the highest expected return? Which is the safest investment and why? Which is the riskiest investment and why? A. x P(x) xP(x) 7000000 0.2 1400000 0 0.3 0 -1000000 0.5 -500000 Total 900000 b. x P(x) xP(x) 3000000 0.10 3000000 2000000 0.60 1200000 -1000000 0.30 -300000 Total 1200000 c. x P(x) xP(x) 3000000 0.40 1200000 0 0.50 0 -1000000 0.10 -100000 Total 1100000A certain mutual fund invests in both U.S. and foreign markets. Let x a random variable that represents the monthly percentage return for the fund. Assume x has mean u = 1.9% and standard deviation o = 0.3%. (a) The fund has over 175 stocks that combine together to give the overall monthly percentage return x. We can consider the monthly return of the stocks in the fund to be a sample from the population of monthly returns of all world stocks. Then we see that the overall monthly return x for the fund is itself an average return computed using all 175 stocks in the fund. Why would this indicate that x has an approximately normal distribution? Explain. Hint: See the discussion after Theorem 6.2. The random variable -Select-v is a mean of a sample size n = 175. By the -Select- v, the -Select- distribution is approximately normal. (b) After 6 months, what is the probability that thẹ average monthly percentage return x will be between 1% and 2%? Hint: See Theorem 6.1, and assume that x has…When a man observed a sobriety checkpoint conducted by a police department, he saw 656 drivers were screened and 5 were arrested for driving while intoxicated. Based on those results, we can estimate that P(W)equals=0.00762,where W denotes the event of screening a driver and getting someone who is intoxicated. What does P(W) denote, and what is its value? What does P(W) represent? P(W)=
- have 15mins help ASAP!Exercise 3. Let X be a random variable with mean and variance o². For a € R, consider the expectation E((X-a)²). a) Write E((X-a)²) in terms of a, u and o². b) For which value a is E((X - a)²) minimal? c) For the value a from part (b), what is E((X-a)²)?In game of roulette, a player can bet on the 1/38 probabilty of metal batt landa on 1the player gets to keep the paid to play the game and the player is awarded an additional 140 Otherwise, the player is awarded nothing and the casino takes the player's $4. Find the expected value E(x) to the player for one play of the game to player in a game of chance, then E(x) is negative. This value gives the average amount the player can expect to lose.
- Suppose model (XY, XZ, YZ) holds in a 2 x 2 x 2 table, and the common XY conditional log odds ratio at the two levels of Z is positive If the XY and YZ conditional log odds ratios are both positive or both negative, show that the XY marginal odds ratio is larger than the XY conditional odds ratio.I need help with all parts of this question 83 500 0≤x≤ys 10 1. Find the expected value of Y. f(x, y) =
- The geometric distribution gives the probability that the first success occurs at the xth trial with success probability p. f(x)=(1-p)x-1p, x=1,2,3,... Show that E(X)=1/p4. An insurance company sells an automobile policy with a deductible of one unit. Let X be the amount of the loss having pmf 0.9 f(x) = x = 0 x = 1,2,3,4,5,6 where c is a constant. a) Find c. b) Find the expected value of the amount the insurance company must pay.X is the number of successes in 10 independent Bernoulli trials. The variance of X is equal to 3/4 of the expectation of X (ie Var(X)=0.75E(X)). The probability that X is less than 2 is equal to_____. Please fill in the blank.