Problem 3. Consider two independent samples, X1, . . . , Xm from a N(µ1, σ12 ) distribution and Y1, . . . , Yn from a N(µ2, σ22 ) distribution. Here µ1, µ2, σ12 and σ2 are unknown. Consider testing the null hypothesis that the two population variance are equal, H0 : σ12 = σ22 , against the alternative that these variances are different, H1 : σ12 ≠ σ12 .
(a) Derive the LR test statistic Λ
Problem 3. Consider two independent samples, X1, . . . , Xm from a N(µ1, σ12 ) distribution and Y1, . . . , Yn from a N(µ2, σ22 ) distribution. Here µ1, µ2, σ12 and σ2 are unknown. Consider testing th...
Let X1, . . . , Xn be i.i.d. from N(µ1, σ2 ), and Y1, . . . , Ym be i.i.d. from N(µ2, σ2 ). If the two samples are independent, find the maximum likelihood estimates for µ1, µ2, and the common variance σ 2 .
Let X1, ...., Xm be iid N(μ1,σ2) and Y1, ..., Yn be iid N(μ2,σ2), and X's and Y's are independent. Here -∞<μ1,μ2<∞ and 0<σ<∞ are unknown. Derive the MLE for (μ1,μ2,σ2). Is the MLE sufficient for (μ1,μ2,σ2)? Also derive the MLE for (μ1-μ2)/σ.
please answer both with an explanation (14) For testing Ho : µ1 = µ2 versus H1 : µ1 # µ2, a completely randomized design used two indpendent samples of sizes n = m = 10 and obtained t-statistics = -2.87. If the assumption of equal but unknown population variances is justified, what is the p-value? The following "answers" have been proposed. (a) Approximately 0.005 (b) Approximately 0.01 (c) Approximately 0.025 (d) Approximately 0.05 (e) None of the above. The correct...
Suppose that X1, X2, . . . , Xn is an iid sample of N (0, σ2 ) observations, where σ 2 > 0 is unknown. Consider testing H0 : σ 2 = σ 2 0 versus H1 : σ 2 6= σ 2 0 ; where σ 2 0 is known. (a) Derive a size α likelihood ratio test of H0 versus H1. Your rejection region should be written in terms of a sufficient statistic. (b) When the null...
12 marks Let independent random samples of sizes n and n2 be taken respectively from two normal distributions with unknown means 1 and 2 and unknown variances oand o. Denote the two samples by . . ,Jn, and y,... , yn2: Which have means T and T, and sample variances s and s2, respectively (a) 4 marks Show that when of = o2, the likelihood ratio test statistic for testing Ho 12 against H 2 can be written as T2...
Concept Check: Terminology 0/3 points (graded) Suppose you observe iid samples X1,…,Xn∼P from some unknown distribution P. Let F denote a parametric family of probability distributions (for example, F could be the family of normal distributions {N(μ,σ2)}μ∈R,σ2>0). In the topic of goodness of fit testing, our goal is to answer the question "Does P belong to the family F, or is P any distribution outside of F ?" Parametric hypothesis testing is a particular case of goodness of fit testing...
eBook Video Exercise 10.1 (Algorithmic)) Consider the following results for two independent random samples taken from two populations. Sample 1 Sample 2 n 50 n2 35 1-1=13.6 X2= 11.1 a. What is the point estimate of the difference between the two population means? | b. Provide a 90% confidence interval for the difference between the two population means (to 2 decimals). c Provide a 95% confidence interval for the difference between the two population means to 2 decimals eBook Video...