Considering two Gaussian distributions N1~(μ1,σ1^2) and N2~(μ2,σ2^2), we pick two random variables x1 and x2 in order to compute the sum x3=x1+x2. We want to prove that:
a) x3 follows a gaussian distribution
b) estimate mean value μ3 and variance σ3^2
c) repeat the above steps for multivariate Gaussian distributions N1~(μ1,Σ1) and N2~(μ2,Σ2)
Considering two Gaussian distributions N1~(μ1,σ1^2) and N2~(μ2,σ2^2), we pick two random variables x1 and x2 in...
Find the standardized test statistic to test the claim that μ1 ≠ μ2. Assume the two samples are random and independent. Population statistics: σ1 = 0.76 and σ2 = 0.51 Sample statistics: x1 = 3.6, n1 = 51 and x2 = 4, n2 = 38
Let X1, X2, and X3 be independent normal random variables with mean µ1, µ2, µ3 and variance σ1^2 , σ2^2 , and σ3^2 . What is the distribution of X1 − X2 + 2X3 − 10?
Let the independent random variables X1 and X2 have binomial distributions with parameters n1, p1 = 1/2 and n2, p2 = 1/2 , respectively. Show that Y = X1−X2+n2 has a binomial distribution with parameters n = n1+n2, p = ½ I want clear steps and explanations.
Consider the following hypothesis test. H0: μ1 − μ2 = 0 Ha: μ1 − μ2 ≠ 0 The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n1 = 80 n2 = 70 x1 = 104 x2 = 106 σ1 = 8.4 σ2 = 7.2 (a) What is the value of the test statistic? (Round your answer to two decimal places.) (b) What is the p-value? (Round your answer to four decimal places.)...
Find the critical value to test the claim that μ1 < μ2. Two samples are random, independent, and come from populations that are normal. The sample statistics are given below. Assume that σ 2/1= σ2/2. Use α = 0.05. n1 = 15 n2 = 15 x1 = 25.74 x2 = 28.29 s1 = 2.9 s2 = 2.8
Two samples are random and independent. Find the P-value used to test the claim that μ1 = μ2. Use α = 0.05. Population statistics: σ1 = 2.5 and σ2 = 2.8 Sample statistics: x1 = 12, n1 = 40 and x2 = 13, n2 = 35 A. 0.0526 B. 0.1052 C. 0.1138 D. 0.4020
Give a 95% confidence interval, for μ1−μ2μ1-μ2 given the following information. n1=45n1=45, ¯x1=2.67x¯1=2.67, s1=0.69s1=0.69 n2=20n2=20, ¯x2=2.8x¯2=2.8, s2=0.61s2=0.61 <μ1−μ2
I. Suppose population 1 has mean μ1 with variance σ2 and population 2 has mean μ2 denote the sample variances from two samples with the same variance σ2 Let s and s with size n and n2 from the corresponding populations, respectively. Show that the pooled estimator pooled n1 2 - 2 is an unbiased estimator of σ2
Give a 99.8% confidence interval, for μ1−μ2μ1-μ2 given the following information. n1=60n1=60, ¯x1=2.05x¯1=2.05, s1=0.61s1=0.61 n2=20n2=20, ¯x2=2.44x¯2=2.44, s2=0.48s2=0.48 ±± Rounded to 2 decimal places.
Suppose we have taken independent, random samples of sizes n1 = 7 and n2 = 7 from two normally distributed populations having means μ1 and μ2, and suppose we obtain x1=240, x2=210, s1=5, and s2 = 6 Use critical values and p-values to test the null hypothesis H0: μ1 − μ2 ≤ 20 versus the alternative hypothesis Ha: μ1 − μ2 > 20 by setting α equal to .10. How much evidence is there that the difference between μ1 and...