Consider two random variables X and Y with joint PMF given in the following Table x= Number of Bars of Signal Strength 1 2 3 y= Response 1 0.01 0.02 0.25 time(nearest second) 2 0.02 0.03 0.20 3 0.02 0.10 0.05 4 0.15 0.10 0.05 a) Find P(X = 1, Y≤3) b) Find the marginal PMFs of X and Y. c) Find P(Y=1|X=1) d) Are X and Y independent? e) For the discrete random variables X and Y, Find E(Y|X=1) and V(Y|X=1)?
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- A random variable X obeys Exponential(λ) distribution. Suppose X has 100 samples Xi, i = 1, 2, ··· , 100. If M100(X)=3.5, please determine an interval estimation of λ with confidence level β = 96%.In the presence of heteroskedastic model errors, assuming that the errors are homoskedastic, will cause: A biased R-squared O T-statistics that are invalid Biased residuals squared Biased coefficients and invalid t-statistics that are invalid O P-values that are bigger than they should beConsider a random sample of size n from a normal distribution with unknown mean u and unknown variance o?. Suppose the sample mean is X and the sample variance is S?. We would like to test Ho : µ = µo versus H1 : µ + µo. What test statistic should you should use to test Ho versus H1? Select one: X- O a. Z= N(0, 1) O b. T = tn-1 O c. W = (n-1)s2 Xn-1 Now suppose that n = 16, the observed sample mean a is 8.9. the observed sample variance s is 25 and Ho = 10.5. Suppose we next want to compute a 95% confidence interval for u. What is the lower endpoint of this 95% confidence interval? Give answer to three decimal places. What is the upper endpoint of this 95% confidence interval? Give answer to three decimal places.
- Our method of calculating a 95 percent confidence interval for the mean µ of a normal population, with known variance o2, is 1.960 1.960 Xn Xn + This method of creating an interval has the property that a single SRS of size n will provide an interval that will containing u with 0.95 probability. If five different individuals select 5 independent samples, each of size their resulting five interval estimates of 4, (i) what is the probability that u will belong to all five of them: (ii) None will contain µ? (iii) What is the probability that at least one of the intervals will contain u? and obtain п, The following``answers" have been proposed. (a) (i) (0.95)5, (ii) (0.95)5, (iii) (0.95)5. (b) (i) (0.05)5, (ii) 1– (0.05)5, (iii) (0.95)5, (c) (i) 1 – (0.05)5, (ii) (0.05)5, (iii) (0.95)5. (d) (i) (0.95)5, (ii) (0.05)5, (iii) 1 – (0.05)5. (e) None of the above. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)An experiment samples two independent populations X and Y. • X is sampled 15 times yielding sample mean •Y is sampled 28 times yielding sample meang = 26.5 and sample std dev s, = 8.9. Do a one-tailed, two-sample t-test against Ho: Hx - Hy = 1. 23 and sample std dev 8 6.6. %3D %3D %3D %3D In this case, the sample mean difference is I-j=23-26.5 %3D The alternative hypothesis for the one-tailed test in this case is HA: Px - HY v 1. The sample std dev of (X-Y) is %3D The test statistic has distribution Your answer must be an integer. Use the R-window as a calculator to compute. In this case, the test statistic has value t = This has p-valueQ10. Let X1,X 2,.,X, be a random sample of size n from a distribution with mean 0 and variance o. Consider the following two estimators for 0: Ô, = X, and Ô, = X. (a) Show that Ôj and Ô2 are both unbiased estimators of e. (b) Obtain the relative efficiency of Ô to Ô2. (c) Which estimator, Oj or O2 is a more efficient estimator? Justify your answer.
- I need the answer as soon as possibleLet x be a random variable that represents hemoglobin count (HC) in grams per 100 milliliters of whole blood. Then x has a distribution that is approximately normal, with population mean of about 14 for healthy adult women. Suppose that a female patient has taken 10 laboratory blood tests during the past year. The sample mean was 15.1 with sample standard deviation s = 2.51. Does this information indicate that the population average HC for this patient is higher than 14? Use α= 0.05.b) Let Y be the mean of sample of size n from a normal distribution with mean μ and variance 100. i. Find n so that Plu − 5 <Ỹ < µ+5)= 0.954 n ii. Find a 90% confidence interval for if the sample yields ΣY; = 100. i=1
- From a population with mean=260 and variance%3D86, we took a sample of size 61 then the sampling distribution for the population mean is O a.t distribution with variance%3D61/86 Ob. N(260/61,86/61) Oc. N(260,86/61) O d. t distribution with variance%=D86/61A researcher investigates whether or not a new cold medication affects mental alertness. A standardized test of alertness is normally distributed with μ = 64 and σ = 8. A random sample of n = 16 students are given the new cold medication and are asked to take the standardized test of alertness. For the sample of n = 16 students, the mean score on the test M = 58. Using the 7 steps of hypothesis testing determine if the new cold medication affects mental alertness (i.e., there is a difference in mental alertness with the cold medication) using α = .05 For this problem 5. Do your statistical calculations 6. Make your decision5. An hypothesis test is of the form Ho : µ1 – Hz = 0 vs Ha : µ1 – H2 < 0. Both populations are assumed normal with equal variance and samples are assumed independent. We draw 21 observations for the first sample and 37 observations for the second sample. State the distribution of the test statistic for this test. t-distribution with 60 degrees of freedom t-distribution with 58 degrees of freedom) Normal distribution with 57 degrees of freedom O t-distribution with 56 degrees of freedom