TOPIC:Conditions of using t-tables.
1. (5 pts) When n=3, the use of the t-tables is appropriate only if X is...
use the appropriate table in the Appendix of Tables to answer this question 11. [-/27 Points] DETAILS DEVORESTAT9 7.1.004. MY NOTES A CI is desired for the true average stray-load loss (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with o -2.2. (Round your answers to two decimal places.) (a) Computea 95% CI for when n. 25 and...
Please use R to solve question 1. Question 1 5 pts Binomial distribution: X~Bi(n=15,p=0.3). Evaluate Pr(2<x<7) and round to three decimal places (see Lab 2). Question 2 5 pts Poisson distribution: X~Poisson(lambda=4.5). Evaluate Pr(X<11) and round to three decimal places. Question 3 5 pts Assume that X is normally distributed (X-N(0,1)). Find Pr(X=3).
For each signal x(n) in Problems #(1)-(5), use Z Transform Tables to do the following: (a) Write the formulas for its Z Transform, X(e), and Region of Convergence, RoCr (b) List the values of all poles and all zeros. (c) Sketch the pole zero diagram. Label both axes. Give key values along both axes. sin ( (-n))u-n]. (Hints: cos(π/3) (5) x1n] , 1/2, sin(π/3)-V3/2) ," For each signal x(n) in Problems #(1)-(5), use Z Transform Tables to do the following:...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
(e) Consider an LTI system with impulse response h(t) = π8ǐnc(2(t-1). i. (5 pts) Find the frequency response H(jw). Hint: Use the FT properties and pairs tables. ii. (5 pts) Find the output y(t) when the input is (tsin(t) by using the Fourier Transform method. 3. Fourier Transforms: LTI Systems Described by LCCDE (35 pts) (a) Consider a causal (meaning zero initial conditions) LTI system represented by its input-output relationship in the form of a differential equation:-p +3讐+ 2y(t)--r(t). i....
Question 13 > B0/10 pts 596 Detail Use ONLY the Standard Normal Tables (Link) to answer the following... A set of exam scores is normally distributed and has a mean of 79.3 and a standard deviation of 7.2. What is the probability that a randomly selected score will be between 64 and 69? Answer = 0.5 (round to four decimal places) Note: Be careful...only use the Z Table here and round z scores to two places since that's what the...
(a) x(t) undergoes impulse train sampling through the following system below: x(t) 20 n=-00 3 i. (5 pts) What is the sampling frequency w used by this system? What is the equation for the output Fourier Transform X,(jw) in terms of X(jw)? ii. (5 pts) Using your equation from (i), sketch the output spectrum X, (jw) vs. w. Make sure to label all critical points iii. (5 pts) Using your sketch from (ii), determine if there is aliasing or not....
1. Let Xi,X2,... .X, be independent identically distributed N( 5,4 ran dom variables Find (use tables or software) t such that (a) P(X-51 > t) = .95 1-2-) >t) = .05 (c) P0% (X (d) P(LL52 *)2 > t) > t) .95 .95 where 82- Σ(x,-x)2
Consider the following discrete-time systems: T[x(n)] = 2x(n) T[x(n)] = 3x(n) + 4 T[x(n)] = x(n) +2x(n − 1) – x(n − 2) Use (2.12) to determine analytically to see whether these systems are time-invariant? Let x1(n) be a uniform distributed random sequence and x2(n) be a Gaussian distributed random sequence with mean 0 and variance 10 over 0 ≤ n ≤ 100. Test time-invariant of 3rd system only. Choose any values for a1 and a2.
A simple random sample of size n=74 is obtained from a population with u=67 and 5 = 6. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of x? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? A. Yes because the Central Limit Theorem states that the sampling variability of nonnormal populations...