In order to estimate the total production of 10factories for a particular product, we considersampling n =2 such factories by the RHC scheme. Forthe size variable, we have number of workers in these10 factories given by 2,5,10,4,7,12,3,14,11 and 6. The Rcommand sample (10, 5) gives the units (2,4,5,7,8) inthe first group G1, so that the remaining units{1,3,6,9,10) are in G2. Using two random numbers0.640 and 0.147 between 0 and 1, and denoting they-value of the ith unit in the population by y(i), fori=1,...10, the RHC estimator and Y-hat RHC for Y is ----1. 33 (y1)/2+41 (7)/32. 33 (y7)/3+41 (y1)/23. 33 (y3)/10 + 41(y8)/144. 33 (y8)/14+41 (y3)/10

Given Data:Number of factories: 10Number of workers in each factory: 2, 5, 10, 4, 7, 12, 3, 14, 11,…

Answered: In order to estimate the total…

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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Suppose that Fairfax County has N=400,000 households. Further, assume that for we have a complete list of these households that contains information for each household that includes estimated household income, household zip code, household address, high school related to the address. We want to collect information from either a sample of n=2000 or conduct a census of all 400,000 by using one of the techniques described below: A = Simple Random Sampling B = Stratified Sampling C = Cluster Sampling D = Systematic Sampling E = Census F = Experimental Design For each scenario below, determine which of the above techniques most closely resembles the data collection strategy being considered. For each scenario you can just designate the technique by using the appropriate letter from above. No further work need to be shown. Using household income, we sort the list from lowest to highest household income and label these sorted households as 1 to 400,000 on our list. We generate a…
Maryland, as the four U.S. cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals from each of the four cities. Millionaire Cannot conclude Bridgeport, CT CA San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? 0.436 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? City Washington, D.C. 35 365 Bridgeport, San Jose, Washington, Lexington Park, CT D.C. MD Lexington Park, 46 27.4 Percentage, % 36.5 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the x² test statistic (to 3 decimals). 36.5 MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
11. The variance for the weight of a breed of cattle is 256 lb2. The mean is 453 lb. How heavy would the animal have to be to be in the top 16% of the herd? Select one:a. 719 lbs.b. 479 lbs.c. 511 lbs.d. 463 lbs.
3. From a single bag of M&Ms we have the following distribution of colors: Color Orange All Other Colors Total number 24 62 If we let p be the proportion of orange M&Ms in your sample, use this to answer the following questions.
A statistics teacher asked two different students, Lexie and Jennifer, to go to Wegmans and sample 30 shoppers each. The population of interest for both people can be defined as, “People who shop at the Johnson City, NY Wegmans store”. Here is what each person did to collect their sample: Lexie: She stood outside at the entrance to the store on 3 different days and times and surveyed every 15th person to walk by her. She surveyed 10 people each time to get her 30. Jennifer: She went to Wegmans after her nursing shift first thing Wednesday morning to buy deodorant since she ran out. When she was in the pharmacy area she surveyed all the people around her and then, to get up to 30 surveys, she went to the health food section and surveyed everyone she was there. Identify at least 2 specific reasons why Lexie’s approach is more likely to give a representative sample. Consider sources of bias, or types of shoppers who might be excluded by Jennifer’s approach.…
A sample of six clusters is to be taken from a population with N = 30 clusters and M = 600 elements. The values of M, I, and a for each cluster in the sample follow. Excel File: data21-15.xls Cluster (i) M, 1 35 3,500 15 965 12 960 1 4 23 2,070 4 20 1,100 25 1,805 Totals 130 10,400 13
5t. A magazine reports that women trust recommendations from a particular social networking site more than recommendations from any other social network platform. But does trust in this social networking site differ by gender? The following sample data show the number of women and men who stated in a recent sample that they trust recommendations made on this particular social networking site. Women Men Sample 150 170 Trust RecommendationsMade on the social networking site 111 102 (a) What is the point estimate of the proportion of women who trust recommendations made on this particular social networking site? (b) What is the point estimate of the proportion of men who trust recommendations made on this particular social networking site? (c) Provide a 95% confidence interval estimate of the difference between the proportion of women and men who trust recommendations made on this particular social networking site. (Round your answers to four decimal places.)
tion 1 Consider the following data set: et red 3, 4, 2, 2, 1, 1, 5, 4, 1, 2, 3, 4, 3, 2, 5. Find the median d out of move flag Select one: a. 5 b. 4 С. 2 d. 3
5. To illustrate that s2 measures the spread, compute s2 for the two samples 109, 110, 111 and 105, 110, 115, and compare.
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