12.There are 48 people quarantined in a hotel waiting for a test because of the COVID-19. They needseparated in a group of 6. Each of them are given a label no. for identification.In selecting the 6 people, the following two sampling methods can be adopted.Method I: Simple Random Sampling: 6 peopleto beare randomly selected with the use of Random Number Table.Method II: Systematic Sampling: starting from Label no. 03, then every kh student isselected.Random Number TableColumn12 3 4 5 7 8910 11 12| 13 14 1516 17 18 | 19 20Row 17 2 19 2|3 4 1 2479.112 2 3 4 16 7 0 0 348.3433 5 1 2 4 92 7 6 45.9.1716.4 7 6 4 1 98 1 1 218.13If Method I is used, the random numbers are drawn by using the above random number(a)table with starting point row 1 column 8.(i)How many digits should be used?(ii)Write down the label no. of the selected students and their floor numberin the following table.Label no.(b) If Method II is used, starting from Label no.3, then every kh student is selected.(i)Determine the best value for k;k =(ii)Write down the label no. of the selected students and their floor numberin the following table.Label no.038.8.2.63.

In Simple random sampling technique, each observation has equal chance of being selected in the…

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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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G m1 chip - Google Search É 13-inch MacBook Pro - Space .austincc.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_756751_1&course_id=_846.. Question Completion Status: QUESTION 4 Is the following an observational study or an experiment? Take a random sample of people at a fitness center. Ask them if they use resistance bands or not. Compare the average muscle mass for those who do and those who do not use resistance bands. O Observational Study O Experiment QUESTION 5
The U.S. Energy Information Administration claimed that U.S. residential customers used an average of 10,608 kilowatt hours (kWh) of electricity this year. A local power company believes that residents in their area use more electricity on average than EIA's reported average. To test their claim, the company chooses a random sample of 187 of their customers and calculates that these customers used an average of 10,737kWh of electricity last year. Assuming that the population standard deviation is 1220kWh, is there sufficient evidence to support the power company's claim at the 0.05 level of significance? Step 2 of 3 : Compute the value of the test statistic. Round your answer to two decimal places.
4. In a population of 10,000 businesses, we want to estimate the average sales Y For that, we sample n = = 100 businesses using simple random sampling. Furthermore, we have at our disposal the auxiliary information 'number of employees', denoted by x, for each business. The data coming from the sample are: - - X = 50 employees (true mean for x ), - Ŷ = 5.2 × 10 Euros (average sales in the sample), - X = 45 employees (sample mean), - s² = 25 x 1010 (sample variance of y₁), - 2 - s² = 15 (sample variance of x^), x p=0.80 (sample linear correlation coefficient between x and y ), a. Calculate the ratio estimate of Ỹ. Is this estimate unbiased or biased? Explain. b. What is the ‘true' variance formula for this estimate? c. Calculate an estimate of the true variance. Is the variance estimate unbiased or biased? Explain. d. Give a 95% confidence interval for Y.
An expert reviews a sample of 10 scientific articles and records the following number of errors in each article: 0, 4, 2, 8, 2, 3, 1, 0, 5,7. Compute the mean, SS, variance, and standard deviation for this sample using the computational formula.
what would be the standard error of the sampling dis
In simple random sampling, it is also true that each member of the population is equally likely to be selected, the chance for each member being equal to the sample size divided by the population size. Show that this fact is also true for stratied random sampling with proportional allocation.
Suppose that 77% of the students at a small private university carry student loans. For a SRS of students at this university, let P(hat) be the sample proportion of the students who carry student loans. How large would a sample from this population need to be to ensure that the distribution of the sample proportion is normally distributed?
1.) Suppose 5% of students are veterans and 143 students are involved in sports. How unusual would it be to have no more than 12 veterans involved in sports? (12 veterans is about 8.3916%)When working with samples of size 143, what is the mean of the sampling distribution for the proportion of veterans? When working with samples of size 143, what is the standard error of the sampling distribution for the proportion of veterans? Compute P(ˆp≤p^≤ 0.083916).P(ˆp≤p^≤ 0.083916) = NOTE: Give results accurate to 5 decimal places 2.)Suppose 15% of students are veterans and 138 students are involved in sports. How unusual would it be to have no more than 14 veterans involved in sports? (14 veterans is about 10.1449%)When working with samples of size 138, what is the mean of the sampling distribution for the proportion of veterans? When working with samples of size 138, what is the standard error of the sampling distribution for the proportion of veterans? Compute P(ˆp≤p^≤ 0.101449).P(ˆp≤p^≤…

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