For the year 2010, 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,642. Assume that the standard deviation is σ = $2,300. If required, round your answer to two decimal places.
(a) | What are the sampling distributions of x for itemized deductions for this population of taxpayers for each of the following sample sizes: 30, 50, 100, and 400? | ||||||||||||||
E(x) = $ _______ | |||||||||||||||
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The answer for above problem is explained below.
For the year 2010, 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized...
For the year 2010, 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,642. Assume that the standard deviation is σ = $2,500. If required, round your answer to two decimal places. (a) What are the sampling distributions of x for itemized deductions for this population of taxpayers for each of the following sample sizes: 30, 50, 100, and...
The Wall Street Journal reported that 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $16,677. Assume that the standard deviation is σ = $2,683. Use z-table. a. What is the probability that a sample of taxpayers from this income group who have itemized deductions will show a sample mean within $192 of the population mean for each of...
The Wall Street Journal reported that 33% of taxpayers with adjusted gross incomes between $30,000 and $60,000 itemized deductions on their federal income tax return. The mean amount of deductions for this population of taxpayers was $17,672. Assume that the standard deviation is =$2,705. Use z-table. a. What is the probability that a sample of taxpayers from this income group who have itemized deductions will show a sample mean within $162 of the population mean for each of the following...
dPrint Hide email 1) The incomes in a certain large population of high school teachers has a mean income μ-$70,000 and standard deviation σ-S6, 000. 50 teachers are selected at random from this population for a survey a) (5 pts) Based on the central limit theorem we would expect the distribution of the sample mean incomes to be approximately b) (5 pts) What is the mean of the sampling distribution of the mean (x )? c) (5 pts) What is...
A simple random sample of 50 items resulted in a sample mean of 30. The population standard deviation is σ = 10. a. Compute the 95% confidence interval for the population mean. Round your answers to one decimal place. Enter your answer using parentheses and a comma, in the form (n1,n2). Do not use commas in your numerical answer (i.e. use 1200 instead of 1,200, etc.) b. Assume that the same sample mean was obtained from a sample of 100...
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The following table shows the total points scored in 16 football games played during week 1 of the season in a youth football league. Use the data to complete parts a through e below. 23 29 33 54 65 49 25 35 45 58 37 44 36 27 18 32 a. Calculate the mean for this population. H- 38.1 H- 38.1 (Round to one decimal place as needed.) b. Calculate the sampling error...
1. A population has a mean of 60 and a standard deviation of 30. Samples of size 16 are randomly selected. Calculate the standard deviation of the sample distribution X. 2. Samples of size 16 are drawn from a population. the sampling distribution for X has a standard deviation of 0.25. Find the standard deviation of the population. 4. Tires are found to have a mean life of 40,000 miles. The standard deviation is 8000. A sample of 400 is...
1) the distribution and histogram of individual penny dates for the entire class (this will be our population), Math/BSAD 2170 Sampling Distributions and Central Limit Theorem 2) the distribution and histogram of the means from samples of 5 pennies (this is called a sampling distribution with n 5), 3) the distribution and histogram of the means from samples of 10 pennies (a sampling distribution with n 10), and 4) the distribution and histogram of the means of each sample of...
Pictured below (in scrambled order) are three histograms: One of them represents a population distribution. The other two are sampling distributions of x-bar; one for sample size n = 5, and one for sample size n = 30. Histogram 1: 400 300 Frequency 200 100 0 3 6 9 12 15 18 21 24 Histogram 2: 800 700 600 500 Frequency 400 300 200 100 0 0 12 15 18 21 24 Histogram 3: 350 300 250 200 Frequency 150...
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explanation.................................................
Multiple Choice. Select the best response 1. An estimator is said to be consistent if a. the difference between the estimator and the population parameter grows smaller as the sample b. C. d. size grows larger it is an unbiased estimator the variance of the estimator is zero. the difference between the estimator and the population parameter stays the same as the sample size grows larger 2. An unbiased estimator of a population parameter is defined as...