by using method of moment or maximum likelihood method. If the random variable X has the binomial, bin(n, p) distribution, does the unbiasedestimator of exist? Explain your answer clearly by providing the step-by-stepр1solution.

Given information: If the random variable X has the binomial distribution, binn,p.…

Answered: If the random variable X has the…

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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after checking the hypothesis tests, please explain briefly how you should proceed given the result of recent hypothesis tests and what the owner should do
A study is conducted by the UMP management to identify the satisfaction level of UMP students with the quality of food served at the university cafeterias. Data from a sample of 150 randomly selected students reveals that only 38% of them are satisfied with the food quality. ii) How large should the sample be if we wish to be 98% confident that the error in estimating the proportion of students who are satisfied is less than 0.1?
To carry out the lack or lack of fit test, it is necessary to partition the sum of squares due to random error in two: a. One due to the fitted model and one due to the pure error b. One due to lack of fit and one due to the fitted model c. One due to the total variation of the experiment and another due to the estimated model d. One due to lack of fit and one due to pure error Explain clearly each option please
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The mean weight of super model winners is greater than 108 pounds. A study of 25 randomly selected super model resulted in a mean winner weight of 115 pounds. Choose the correct Null and Alternative Hypothesis
A researcher wishes to estimate the 95% confidence interval of the proportion of students who show interest in webcasting and E·learning. A previous record shows that 30% of the students are interested. What is the minimum sample size necessary If the researcher aims for a margin of error of 30%?
Each passenger on a plane brings one piece of luggage. The weight of a piece of luggage is normally distributed with mean 50 pounds and variance 150 pounds^2. The weight is independent across passengers. The total luggage weight on the plane cannot exceed 1000 pounds. What is the maximum number of passengers allowed such that with at least 0.9 probability the luggage weight is below the limit.
Chapter 4, Section 2, Exercise 049 The null and alternative hypotheses for a test are given, as well as some information about the actual sample and the statistic that is computed for each randomization sample. Indicate where the randomization distribution will be centered. H0:p1=p2 vs Ha:p1<p2Sample: p1^=0.3, n=20, p^2=0.167, n=12Randomization statistic: p^1-p^2 Enter your answer in accordance to the question statement
We've seen how to compare the means of two samples with known population variances (refer, for instance, to Example 4 in Recitation 11), but when we need to compare the means of two samples with unknown (but assumed to be equal) population variances, a method called 'variance pooling' needs to be used to find the 'pooled sample variance' that should be used when calculating the confidence interval. The pooled variance is given by si (n1 - 1) + s5 (n2 - Spool = n, +n, -2 with v=n, +n, - 2 degrees of freedom (see page 308 of your e-book). Now look at the example below. Production engineers need to compare the average efficiencies of two production processes. Process 1 and Process 2 are sampled 11 and 15 times and they yielded average efficiencies of 80 and 75 (out of 100), respectively. The sample standard deviations are 6 and 3, again, respectively. Help them construct a 99% confidence interval, assuming that efficiency values are Normally distributed with equal variances. Click here to…
Well over 70% of last years graduates have jobs in thier filed of study. if the "Missouri Rule" is applied the related hypothesis test, the null hypothesis and alternative hypothesis will be
In this unit, three important characteristics of a binomial experiment are summarized: fixed number of trials. two possible outcomes; and n independent trials repeated using the same conditions. Based on the above mentioned characteristics, Think of a binomial experiment example from your own area of interest. Describe how the experiment selected meets all the characteristics of a binomial experiment.

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If the random variable X has the binomial, bin(n, p) distribution, does the unbiased 1 estimator of exist? Explain your answer clearly by providing the step-by-step