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1. Consider the function f ( x ) = cx3 for x = 1, 2, 3, 4; where c is a constant. Let X be a discrete random variable with probability function f (x).
(a) Determine the value of c that makes f ( x ) a probability function.
(b) Find P( X 2).
(c) Find P(2 X ::; 3).
(d) Find E[X].
(e) Find Var[X].
2. Defects on computer disks are known to occur at a rate of two defects per (mm) 2 and they occur according to a Poisson model.
(a) Find the probability that at least one defect will be found if 1 (mm) 2 is examined.
(b) Find the probability of less than two defects if 1 (mm)2 is examined.
The researcher would like to create another regression model and use data from people who are currently students - In simple Ordinary Least Squares regression, the fitted line must always go through a particular point, which is found from the x and ..
the frequency distribution below shows the distribution for suspended solid concentrationin ppm in river water of 50
on june 4-24 2007 the gallup poll asked a random sample of adult americans about their attitudes toward interracial
Find the mean and standard deviation for the batting average for a player in the most recently completed MBL season. What batting average would separate the top 5% of all hitters from the rest?
The data given shows daily sales at the petrol station. Compute Karl Pearson's co -efficient of skewness. Quantity sold (in litres) and No. of days. are given.
Can we conclude, at the level of significance, that the mean lifetime of light bulbs made by this manufacturer differs from months?
Let X1,..., Xn be a random sample recorded as heads or tails resulting from tossing a coin n times with unknown probability p of heads. Find the MLE pˆ of p. Also using the invariance property, obtain an MLE for q = 1 - p. How would you use the re..
use the value of linear correlation coefficient r to find the coefficient of determination and the percentage of the
Let Ck be the smallest σ-algebra for which Uj is measurable for all j ≤ k. Show that {Uk, Ck }k≤-1 is a reversed martingale and find its limit as k → -∞. Let C-∞ := nk≤-1 Ck . Is Y equal a.s. to a variable measurable for C-∞?
many many snails have a one-mile race and the time it takes for them to finish is approximately normally distributed
By using significance level a = .05, and suppose a normal distribution what does evidence conclude?
If a random sample of 60 students is selected from this population, what is the probability that the average score of this sample will be at most 75.08? Interpret your results and state any assumptions
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