1. Distinguish Discrete Random Variable from Continuous Random Variable. 2. Distinguish Continuous Probability Distribution from Discrete Probability Distribution.
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1. Distinguish Discrete Random Variable from Continuous Random Variable.
2. Distinguish Continuous
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- Suppose the number of rides that a visitor enjoys at Disney Find the mean number of rides for a Disney World visitor. World during a day is a random variable with the (Use decimal notation. Give your answer to two probability distribution given in the table. decimal places.) 5 6 7 8 9 10 11 12 p(x)0.040.07 0.09 0.120.200.300.130.05Does the following table represent the probability distribution for a discrete random variable? Explain your answer.Determine whether or not the distribution represents a probability distribution. If it does not, explain why. 1. Y 2 4 6. 8 P(Y) 2. 1 P(X) 1/3 1/6 1/3 3. 4 P(Z) 1/5 1/5 2/5 1/5 4. H 9. P(H) 0.65 -0.15 0.50 5. G 10 15 20 25 P(G) 0.12 0.34 0.23 0.16 0.15 1 313
- I need help with this question pleaseQuesiton 45There is small parking lot behind a Floral Shop that has two parking lot spaces. Let X be the number of cars parked in the parking lot at midday. The probability distribution of X is given by ?(? = ?) = 4 − ? ? = 0,1,2 9 (i) Construct the probability distribution table (ii) What is the probability that there will be at most 1 car in the parking lot? (iii) Calculate the expected number of cars in the parking lot at midday
- Continuous random variables that appear to have equally likely outcomes over their range of possible values have a O A. uniform probability distribution. O B. density probability distribution. O C. normal probability distribution. O D. none of these.THIS IS ABOUT RANDOM VARIABLES PLEASE SHOW YOUR SOLUTIONShow that the Geometric probability distribution, with parameter p, is a valid discrete probability distribution.
- A discrete probability distribution Multiple Choice is a listing of all possible values of the random variable. is independent of the parameters of the distribution. assigns a probability to each possible value of the random variable. can assume values between −1 and +1.The probability distribution of the ratings established by the employees on the relationship they have with their supervisors ranges from 1 (poor) to 5 (excellent). Qualification of employee’s relationship with supervisor (x) Supervisor A f (x) Supervisor B f (x) 1 0.05 0.04 2 0.09 0.10 3 0.03 0.12 4 0.42 0.46 5 0.41 0.28 a) What is the expected value (mean) of the securities offered to the rating of supervisor A? b) What is the expected value (mean) of the securities offered to supervisor B's rating? c) Calculate the variance of the values offered to the rating of supervisor A. d) Calculate the standard deviation of the values offered to the rating of supervisor B. e) Compare their satisfaction with supervisor A with that of supervisor B.Why is the probability that a continuous random variable equals a specific number zero? That is, why is P(X=b)=0 for any number b?