Condition of probability distribution:
The sum of probability must be equal to 1
2 | 6 | 10 | 11 | 16 | 20 | 25 | 30 | ||
0.14 | 0.16 | 0.05 | 0.05 | 0.1 | 0.2 | 0.1 | 0.2 | ||
0.28 | 0.96 | 0.50 | 0.55 | 1.60 | 4.00 | 2.50 | 6.00 | ||
0.56 | 5.76 | 5.00 | 6.05 | 25.60 | 80.00 | 62.50 | 180.00 |
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10 0.05 20 0.2 25 0.1 30 0.2 0.16 0.05 0.1 a) P(x>6) b) P(x211) C)...
8 0.05 10 0.05 13 0.17 0.16 15 0.17 20 02 21 23 0.1 00 0.0 0.0 a) P(x > 10) b) P(x>10) c) P(x < 20) d) P(x = 8 or x = 10) e) The mean for variable x f) The standard deviation for variable x. 3. 2 IX P(x) 30 6 0.16 10 0.05 11 0.05 16 0.1 20 0.2 25 0.1 0.2 a) P(x>6) b) P(x211) c) P(x < 10) d) Pix = 11 or x...
x P(X=x) 10 0.1 20 0.15 30 0.2 40 50 0.15 60 0.15 The incomplete table at right is a discrete random variable x's probability distribution, where x is the number of people who will enter a retail clothing store on Saturday. Answer the following: (a) Determine the value that is missing in the table. (b) Explain the meaning of P(x < 40) as it applies to the context of this problem. (c) Determine the value of P(x > 40):...
(2 points) x19 20 21 22 23 P(X = x) 0.1 0.1 0.2 0.1 0.5 Given the discrete probability distribution above, determine the following (a) P(X = 21) = (b) P(X > 20) = (c) P(X> 20)=
Question 6 A random variable X has cdf χ20 Plotthe cdf and identif.,(x)-1-0.2~ a) Plot the cdf and identify the type of the random variable. b) Find the pdf of X. c) Calculate P[-4eX<-1], P(xS2], P(X=1], Pf2-K6], and P[X>10]. d) Calculate the mean and the variance of X. If the random variable X passes through a system with the following chara cteristic function: e) f) Find the pdf of Y. Calculate the mean and the variance of Y. Good Luck
x 7 8 9 10 11 P(X = x) 0.3 0.1 0.2 0.1 0.3 Step 3 of 5: Find the standard deviation. Round your answer to one decimal place.
Three tables listed below show random variables and their probabilities. However, only one of these is actually a probability distribution. ABCxP(x)xP(x)xP(x)25 0.6 25 0.6 25 0.6 50 0.1 50 0.1 50 0.1 75 0.1 75 0.1 75 0.1 100 0.4 100 0.2 100 0.6 a. Which of the above tables is a probability distribution? (Click to select) B A C b. Using the correct probability distribution, find the probability that x is: (Round the final answers to 1 decimal place.) 1. Exactly 50 = 2. No more than 50 = 3. More than 25 = c. Compute the mean, variance, and standard deviation of this distribution. (Round the final answers to 2 decimal places.) 1. Mean µ 2. Variance σ2 3. Standard deviation σ
Consider the probability distribution shown below: X 10 12 18 20 p(x) 0.2 0.3 0.1 0.4 Find the standard deviation of X.
2) Consider a random variable with the following probability distribution: P(X = 0) = 0.1, P(X=1) =0.2, P(X=2) = 0.3, P(X=3) = 0.3, and P(X=4)= 0.1. A. Generate 400 values of this random variable with the given probability distribution using simulation. B. Compare the distribution of simulated values to the given probability distribution. Is the simulated distribution indicative of the given probability distribution? Explain why or why not. C. Compute the mean and standard deviation of the distribution of simulated...
The random variable X and Y have the following joint probability mass function: P(x,y) 23 0.2 0.1 0.03 0.1 0.27 0 4 0.05 0.15 0.1 a) Determine the marginal pmf for X and Y. b) Find P(X - Y> 2). c) Find P(X S3|Y20) e Determine E(X) and E(Y). f)Are X and Y independent?
Q1) (20 Mark) The probability density function of a random variable X is given by: f(x) Cx-2 x21 1) Find the value of C 2) Find the distribution function F(X) 3) Find P(X > 3) 4) Find the mean and the standard deviation of the distribution