A random variable X has a probability density function ; x<0, f(x)= 0 0≤x≤l, ; 1
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- Let X have an exponential distribution with 0-1. The probability P 6. <5is equal toLet X be the total number of groups of customers at Jellibabix's restaurant over one day in Lugdunum. Experience shows that X Poi(30). Each table (group of customers) orders at least one bottle of wine with probability p = 0.80. Suppose each table decides independently from other tables whether or not to order wine. If Y is the number of tables that ordered at least one bottle of wine, find the distribution of Y (hint: consider the distribution of Y given X = x).Please answer this statistic question
- Please answer this one. With complete solution! Thank youToday, the waves are crashing onto the beach every 5.1 seconds. The times from when a person arrives at the shoreline until a crashing wave is observed follows a Uniform distribution from 0 to 5.1 seconds. Round to 4 decimal places where possible. The probability that a person will be born between weeks 18 and 52 is P(18<x<52)P(18<x<52) = The probability that a person will be born after week 40 is P(x > 40) = P(x > 10 | x < 47) =Please show all work when answering this question. This is an ungraded question that is used for review so please help. This question refers to probability
- Please answer the question in the photo! thanks!Please solvePROBABILITY UPVOTE WILL BE GIVEN. PLEASE WRITE THE COMPLETE SOLUTIONS. ANSWER IN 4 DECIMAL PLACES. BOX THE FINAL ANSWER. Determine the following: a. A café restaurant has an average of 20 cups of coffee sold per day. Determine the probability that the café will sell exactly 25 cups the next day. b. Find the expected value at the equation, X is uniform at limits (0,1).
- Please solve this question in probability quicklyIn each case, determine the value of the constant c that makes the probability statement correct. (Round your answers to two decimal places.) USE SALT (a) (c) = 0.9857 2.189 (b) P(0 ≤Z≤ c) = 0.3133 0.89 (c) P(C ≤ Z) = 0.1335 1.11 You may need to use the appropriate table in the Appendix of Tables to answer this question.Let x be a continuous random variable that has a normal distribution with u = 50 and o = 8. Find the probability P(30 ≤ x ≤ 39).