fe Cx): 1/4,0ExS4Giren te two independent continuous rand om vanablesX and Y wi probability distribution fx(x) and fy (Y)2: X +Y.above, dekrmine F, (2), wherethe quertion is asking For a cumulative probabilityvalue not a probability density value. Phe plotsprovided have dippering scaleto scale ·Reminder :and may not be

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Answered: fe Cx): 1/4, 0£x S4 Given the two…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the data |X; 2 6913 20 Y;S16 10 25/21 16 10 25 21 (a) what is the value of the Stand ar d error of the estimate ? (Round your ans wer +o three decimal places)
Calculate the forecasted values of tempurature based on weeks using Moving Average with m = 3. Required: Complete the rest of the table: Week Tempurature Predicted |e| e^2 1 10 - - - 2 14 - - - 3 8 - - - 4 25 29 5 16 6 22 7 14 8 35 9 15 10 27 11 18 12 40 13 28 14 40 15 25 16 65 Calculate the MAE: Calculate the MSE: In which week was forecasted tempurature the furthest from the actual tempurature? Predict what the tempurate would be for Week 17
Please Answer Q6 attached in the image.
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To test Ho: µ = 50 versus H,: µ < 50, a random sample of size n = 26 is obtained from a population that is known to be normally distributed. Complete parts (a) through (d) below. E Click here to view the t-Distribution Area in Right Tail. (a) If x = 47.5 and s = 11.9, compute the test statistic. to = (Round to three decimal places as needed.) (b) If the researcher decides to test this hypothesis at the a = 0.05 level of significance, determine the critical value(s). Although technology or a t-distribution table can be used to find the critical value, in this problem use the t-distribution table given. Critical Value: (Round to three decimal places. Use a comma to separate answers as needed.) (c) Draw a t-distribution that depicts the critical region. Choose the correct answer below. OA. OB. Oc. -ta12 ta/2 -ta (d) Will the researcher reject the null hypothesis? O A. Yes, because the test statistic falls in the critical region. B. No, because the test statistic falls in the critical…
Hi. Please help. I need to calculate the mean and vairance of the probabiltiy density function I am getting one minute but the time better each serving is at least 2 minutes. Can you correct me as I have gone wrong somewhere. (see attached doc)
The lifetime, X, of a particular integrated circuit has an exponential distribution with rate of λ=0.5 per year. Thus, the density of X is: f(x,x) = 1 e-^x for 0 ≤ x ≤ ∞o, λ = 0.5. λ is what R calls rate. Hint: This is a problem involving the exponential distribution. Knowing the parameter for the distribution allows you to easily answer parts a,b,c and use the built-in R functions for the exponential distribution (dexp(), pexp(), qexp()) for other parts. Or (not recommended) you should be able to use the R integrate command with f(x) defined as above or with dexp() for all parts. d) What is the probability that X is greater than its expected value? e) What is the probability that X is > 5? f) What is the probability that X is> 10? g) What is the probability that X > 10 given that X > 5? h) What is the median of X? Please solution USING R script
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We investigate if a period of time feels longer orshorter when people are bored compared to whenthey are not bored. Using independent samples,we obtain these estimates of the time period (inminutes):Sample 1 (bored): X =14.5, s2x =10.22, n =28Sample 2 (not bored): X =9.0, s2x =14.6, n =34(a) What are H0and Ha? (b) Compute tobt. (c) Witha .05, what is tcrit? (d) What should we conclude about this relationship? (e) Using our twoapproaches, how important is boredom in determining how quickly time seems to pass? part f: compute the 95% confidence interval
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