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- b. The table below shows the probability distribution of the number of stores visited per customer per single visit to the mall. Assume that a customer can visit at most four stores per single visit to the mall. Number of stores visited per customer per single visit (x) Probability P(x) xP(x) (x-μ)²p(x) 0 0.04 1 0.41 2 0.40 3 0.09 4 0.06 i. Using the table above, compute the expected number of stores visited per customer per single visit to the mall for the above distribution. ii. Using the table above, compute the standard deviation for the above distribution.1. In the probability distribution below, the random variable X represents the number of students in classrooms on Mondays at 2 p.m. at SLCC. X P(x) xP(x) x²P(x) 25 0.25 26 0.41 27 0.16 28 0.18 a. Complete the table above. b. Compute the mean of the random variable. c. Compute the standard deviation of the random variable.The following is the probability distribution for calls arrived at a switchboard of one of leading companies: No. Calls (X) P(X) 0.14 0.37 12 0.24 18 What is the Mean no. of Calls (p)? (Write your answer to the nearest 2 decimals)
- Thirty-three percent of all Americans drink bottled water more than once a week (Natural resources Defense Council, December 4, 2015). Suppose you have been hired by the Natural Resources Defence Council to investigate bottled water consumption in St. Paul. You plan to select a sample of St. Paulites to estimate the proportion who drink bottled water more than once a week. Assume the population proportion of St. Paulites who drink bottled water more than once a week is 0.33, the same as the overall proportion of Americans who drink bottled water more than once a week. Use z-table. a. Suppose you select a sample of 540 St. Paulites. Show the sampling distribution of P (to 4 decimals). E(P) .33 Op = .0202 b. Based upon a sample of 540 St. Paulites, what is the probability that the sample proportion will be within 0.07 of the population proportion (to 4 decimals). probability 0.9994 c. Suppose you select a sample of 280 St.Paulites. Show the sampling distribution of (to 4 decimals). E(P)…Please solve the screenshot, (a) and (b) only. The answer for (b) is not 0.2!24. Use the probability distribution to complete parts (a) through (d) below. The probability distribution of number of televisions per household in a small town X 0 3 P(x) 0.03 0.54 (a) Find the probability of randomly selecting a household that has one or two televisions. The probability is (Type an integer or a decimal. Do not round.) (b) Find the probability of randomly selecting a household that has two or more televisions. 1 0.11 2 0.32 The probability is (Type an integer or a decimal. Do not round.) (c) Find the probability of randomly selecting a household that has between one and three televisions, inclusive. The probability is (Type an integer or a decimal. Do not round.) (d) Find the probability of randomly selecting a household that has at most two televisions. The probability is (Type an integer or a decimal. Do not round.)
- Please ASAP, answer all part or left it for other expert4. Let X be a random variable with values 2, 3, 5, and 6. Find the sampling distribution of the mean of the samples without replacement if n=2. Sample size of Sample Mean Sample Mean x Probability P(x) fFind the mean of the given probability distribution. 16) In a certain town, 70% of adults have a college degree. The accompanying table describes th 16) probability distribution for the number of adults (among 4 randomly selected adults) who h college degree. P(x) X 0 0.0081 1 0.0756 2 0.2646 3 0.4116 4 0.2401
- 5.3 A bent coin, with heads probability .2, is tossed 13 times. Let X be the number of heads in the 13 tosses. Find (a) P(X =5), and (b) P(X = 12).Q P.6: On its way, a car meets 4 traffic lights, and the probability that each of them will be red is 0.5. Let X be a discrete random variable equal to the number of traffic lights that were green when the car arrived. X may take the values of 0, 1, 2, 3, 4. (Assume traffic lights are independent.) What is the probability distribution of X? The probability distribution of X is 3 4 p(x) 0.5 0.25 0.125 0.0625 0.0625 The probability of distribution of X is 3 p(x) 0.5 0.5 0.25 0.125 The probability of distribution of X is 3 4 p(x) 0.5 0.25 0.5 0.25 0.125 The probability distribution of X is 1 3 4 p(x) | 0.5 || 0.5 || 0.5 | 0.5 || 0.5 The probability of distribution of X is 3 4 p(x) || 0.0625 0.0625 0.125 0.25 0.530
