A population consists of the following 6 values: {10, 20, 30, 40, 50, 60}. A sample of size 3 will be chosen from thispopulation without replacement and the median of the sample will be computed:{(0.5 (£n/2 + £n/2+1)m =x(n+1)/2n oddn evenIn other words, in a sample of size n = 3 ordered from smallest to largest the median is the 2nd number.The median of a discrete random variable, μ, is defined as the value of such thatandP(X M) ≤ 0.5Determine the median of the population. Think of the population as an equally likely sample space.Determine the sampling distribution of the sample median, m for this population by (1) identifying all possiblesamples (how many are there?), (2) calculating the median in each sample and (3) using that to determine theprobability of each median.Calculate E (m)Determine the standard error or the sample median

Given that a population consists of 6 values as 10, 20, 30, 40, 50, 60. A sample size 3 will be…

Answered: A population consists of the following…

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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The population mean will always be the same as the mean of all possible X that can be computed from samples of size 38. O True O False
17.) What is the skew of the following data set X = [4; 5; 5; 6]?
A researcher wants to determine the mean level of mercury found in 3 species of salt water shellfish: clam, oyster and crab. She randomly samples 100 shellfish of each species. She measures the amount of mercury in each specimen. 1. What is the experimental unit? [Select] 2. What is the response variable? [Select] 3. What is the factor? [Select] 4. What are the factor levels? [Select] > > > >
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The distance (in miles) travelled by 88 vehicles were inputted into Minitab for analysis. A Stem and Leaf plot of these distances (in miles) is presented below in Figure 1Stem-and-Leaf DisplayLeaf Unit = 10.0 N= ?1 0 71 12 1 82 24 2 888 3 022311 3 56719 4 0000133437 4 555555556667777888(??) 5 00011222333334436 5 5556678828 6 0000000000112344411 6 6667885 7 00021 7 51. Calculate the missing values “?” and“??”2. What is the median?
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.
The government is interested to estimate the proportion of families gathering in the weekends, in a city. The city is divided into three blocks. A stratified random sample of 60 households was selected proportionately from each block considering the blocks as strata. The summary data of the survey are presented in the following table. Stratu Ni m (i) |X; Mean S; Pi 1 120 18 35.0 4.0 0.5 О.2 0.9 130 15 20.0 5.0 180 27 30.0 6.0 25 i) Estimate the proportion of family gathering in the weekend, and obtain a 95% confidence interval of your estimate. Interpret the results. ii) Find the appropriate sample size and its allocation for estimating the total family gathering, with a bound of 50 points on the error of estimation. Assume that the stratum standard deviations are o1=8, 02=12 and , o3=4. LO NO Oold 23
For the residents in 2014, use R to calculate the interval with 99% certainty that the interval contains the actual population mean of the residents by census tracts. Type in the interval with keyboard. We also know that in each year, the number of residents by census tract in the State of Maryland follows a normal distribution, and the variance in the number of residents within the State of Maryland is the same for different years. POP2014: 3072, 1989, 3794, 2689, 3211, 3722, 4385, 4009, 7598, 3862, 3097, 2726, 4881, 4157, 2570, 2512, 2518, 4863, 4147, 7139, 6067, 6819, 3705, 3239, 3824, 4977, 2576, 2940, 9791, 5231, 5634, 5337, 4205, 3888, 5562, 3335, 3770, 1808, 2045, 1532, 5420, 4993, 6109, 4377, 5424, 4976, 4507, 3738, 2827, 3485, 1559, 5199, 4702, 3971, 3803, 3356, 4670, 3816, 5477, 4760, 3126, 3630, 3755, 3795, 2578, 3382, 4005, 2442, 6096, 3799, 3843, 3836, 6046, 6431, 3561, 3142, 4829, 5058, 2471, 6119, 3523, 3094, 3146, 3356, 2618, 2366, 4266, 4016, 6080, 1554, 6878, 3645,…
Let x₁ represent the sample mean cost (in thousands) to remodel a kitchen and x₂ represent the sample mean cost (in thousands) to remodel a master bedroom. A point estimate for the difference in these remodeling costs is desired, so x₁ - x₂ is needed. A sample mean is calculated as follows where x, is the sum of the given values and n is the sample size. X = n The sample of costs to remodel a kitchen, in thousands of dollars, are given. Kitchen 27.2 18.4 23.8 22.9 20.7 24.0 21.7 17.9
The population mean will always be the same as the mean of all possible that can be computed from samples of size 27. True O False
The best way to ensure that your sample represents the population it came from accurately, is to make sure you have a sample of at least 10. (n=10) True or false
Average monthly wages (per employee) in 4 sectors of an economy are as follows: industry: 2000 dinars, building: 2200 dinars, agriculture: 1500 dinars, services: 1800 dinars. Number of people employed in the four sectors are 5 million, 2 million, 6 million, and 2 million, respectively. Using the concept of harmonic mean compute the average monthly wages in the economy under consideration.

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