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- A factory production process produces a small number of defective parts in its daily production. Is the number of defective parts a discrete or continuous random variable?The table gives the joint probability distribution of the number of sports an individual plays (X) and the number of times she may get injured while playing (1) X=3 0.15 0.06 0.15 0.02 Y=4 Y=3 Y=2 Y=1 X=1 0.12 0.05 0.10 0.15 The covariance between X and Y. xy.is (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) The correlation between X and Y, con(X, Y), is (Round your answer to two decimal places. Enter a minus sign if your answer is negative) An increase in the number of sports an individual plays will tend to X=2 0.08 0.05 0.03 0.04 the number of times she may get injured while playingtyping pls i need a ) and b) answers
- Random Phenomenon: The height of a tree depends not only on age but also on the soil and other natural conditions in the place of growth. The height of redwood trees in a park varies from 160 to 230 feet. Measure the height of a random redwood tree on Earth. Step 2 of 3: What is the maximum value of the random variable X? Input 'NoMax' if the maximum does not exist.Classify the following random variable according to whether it is discrete or continuous. The temperature in degrees Celsius on January 1st in Fargo, North Dakota Group of answer choices Discrete Continuous2. A city had an unemployment rate of 7%. The mayor pledged to lower this figure and supported programs to decrease unemployment. A group of citizens wanted to test with 0.032 label of significance if the unemployment rate had actually decreased, so they obtained a random sample of 500 citizens to see what proportion of the sample was unemployed. Only 32 citizens in the above sample is still unemployed. What is the probability of Type II error if the actual unemployment rate is 6.5% please don't use software everything needs to be done by hand. Explain because I don't understand my professor. Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
- The number of major snowstorms (that shut down businesses) has a Poisson distribution with rate 0.4 per month Hom January through March. A restaurant buys an insurance policy to insure against losses. The policy pays nothing for the first major snowstorm that occurs in January through March, but pays $2,000 for every major snowstorm thereafter for that period up to $6.000. a) Find the probability there are 4 or more snow storms during the 3-month period. b) Find the expected amount paid by the policy during the 3-month period.Find f'(x). f(x) = - 12 In x + 11x - 11 f'(x) =If the estimator is consistent and the asymptotic variance is smaller than all other consistent estimators of then Ô is asymptotic efficient. O True False
- Suppose there are n assets which are uncorrelated. (They mightbe n different “wild cat” oil well prospects.) You may invest in any one, or in any combination of them. The mean rate of return r¯ is the same for each asset, but the variances are different. The return on asset i has a variance of σ2i for i = 1, 2, . . . , n.(a) Show the situation on an r¯-σ diagram. Describe the efficient set.(b) Find the minimum-variance point. Express your result in terms of σ¯2 =!"ni=11σ2i#−1.11Q.3 What is the difference between ordinary least square and maximum likelihood ( ML ) estimators ? Also discuss their properties ?
