Description You have just completed the Discrete Variable Continuous Variable assignment on Discrete Probability Distributions and will be moving into Continuous Probability Distributions. Name three variables you encounter in your daily life that are discrete and name three that are continuous. How do you know if they are discrete or continuous?
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A: First enter the given data in Excel as shown below.
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- An ordinary die is rolled. Find the probability of each event. Rolling a number greater than 1 but less than 6The score on an exam from a certain MAT 112 class, X, is normally distributed with μ=81.2 and σ=10. NOTE: Assume for the sake of this problem that the score is a continuous variable. A score can thus take on any value on the continuum. (In real life, scores are often treated as if they were continuous values but are actually discrete in most cases.) (a) Write the event ''a score less than 69.2'' in terms of X: . (b) Find the probability of this event: (c) Find the probability that a randomly chosen score is greater than 88.7: . (d) Find the probability that a randomly chosen score is between 69.2 and 88.7:Which of the statements is not true about continuous probability distributions? A) The total area under the density curve must be exactly 1. B) There are no disjoint events in continuous probability models. C) If X is a continuous random variable taking values between 0 and 500, then ?(?>200)=?(?≥200) D) The probability of any event is the area under the density curve over the range of values that make up the event.
- Biologists are observing grunion run on a 4-mile long stretch of beach (the starting point islabeled 0 mi & the ending point labeled 2 mi, similar to a number line or a ruler). Assuming that the run happens on any point on this stretch with equal probability, let the continuous random variable X be the location of the run, then the probability distribution (or density) of X is p(x) = ¼ for 0≤x≤4p(x) = 0 otherwise (x<0 or x>4)(Hint: Sketch the graph y=p(x)) Calculate:(a) Justify the model above(b) Pr ( 0 mi < X < ¼ mi) – hint: find the enclosed area(c) Pr ( ¼ mi < X < ½ mi )(d) Pr ( ¼ mi < X < ¾ mi )(e) Pr ( 1 mi < X < 2 mi ) (f) If there aren’t enough observers to monitorthe entire 4-mi stretch, determine the length of beach that needs to be monitoredso that there is at least a 75% probability the team will be observing the grunion runDiscuss the importance of Probability Density Functions in Actuarial studies. Illustrate your discussions with one discrete and one continuous distribution.a discrete probability distribution is defined by the function P(X = x) = (x^2 + x) / 20 ; x = 1, 2, 3 a) use this information to fill in the second column in the table. The additional columns are for you to use as needed when finishing other parts of this problem. There may be an extra column. x P ( X = x) 1 2 3 total b) describe how you can determine that the algebraic function does indeed define a discrete probability c) use another column on the table as needed to find the mean, also known as the expected value d) Use another column on the table as needed to find quantities needed to calculate the standard deviation.
- A continuous random variable is normally distributed. The probability that a value in the distribution is greater than 47 is 0.3085. Find the probability that a value in the distribution is less than 47.The score on an exam from a certain statistics class, X, is normally distributed with μ=78.2μ=78.2 and σ=8.2σ=8.2.NOTE: Assume for the sake of this problem that the score is a continuous variable. A score can thus take on any value on the continuum. (In real life, scores are often treated as if they were continuous values but are actually discrete in most cases.) (a) Write the event ''a score less than 70.2'' in terms of X: . (b) Find the probability of this event: (c) Find the probability that a randomly chosen score is greater than 85.7: . (d) Find the probability that a randomly chosen score is between 70.2 and 85.7Delta Airlines quotes a flight time of 2 hours, 5 minutes for its flights from Cincinnatito Tampa. Suppose we believe that actual flight times are uniformly distributed between2 hours and 2 hours, 20 minutes.a. Show the graph of the probability density function for flight time.b. what is the probability that the flight will be no more than 5 minutes late?c. what is the probability that the flight will be more than 10 minutes late?
- Lex X be a random variable with probability density function fx(x) given byWorkers at a large toxic cleanup project are concerned that their white blood cell counts may have been reduced. Let x be a random variable that represents white blood cell count per cubic millimeter of whole blood in a healthy adult. Then μ = 7500 and σ ≈ 1750.† A random sample of n = 50 workers from the toxic cleanup site were given a blood test that showed x = 6750. What is the probability that, for healthy adults ,x will be this low or lower? (a) How does the central limit theorem apply? Explain. 1The central limit theorem describes the distribution of x as normal with mean μ x = 7500 and σ x ≈1750.0. The central limit theorem describes the distribution of x as normal with mean μ x = 7500 and σ x≈35.0. The central limit theorem does not apply because the sample size is too small. The central limit theorem describes the distribution of x as normal with mean μ x = 7500 and σ x ≈247.5. (b) Compute P(x ≤ 6750). (Round your answer to four decimal places.) P(x ≤ 6750) = 2 (c)…Sephora uses a continuous distribution to describe the sales from one of their beauty events. From business intuition the manager sees generally sales are from $100,000 to $150,000 in their location. What is the probability the sales is more than 120,000?