Questions Exercise 07.19 (Sampling Distribution of x)1.2.Ob. Answer part (a) for a sample of size 120 (to 4 decimals).Question 1 of 2 ►In the EAI sampling problem, the population mean is $71,800 and the population standard deviation is $4000. For n = 30, there is a 0.5064 probability ofobtaining a sample mean within +$500 of the population mean. Use z-table.a. What is the probability that is within $500 of the population mean if a sample of size 60 is used (to 4 decimals)?Icon KeyHint(s) Check My WorkHint(s) Check My Work

Given,mean(μ)=$71,800standard deviaton(σ)=$4000

Answered: Questions Exercise 07.19 (Sampling…

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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et's look at attendance between the two leagues and draw some conclusions. For purposes parts D and E, we are assuming that separating the data into 2 groups based on League is considered sampling; thus, we have 2 samples (American League and National League) and assume we do NOT know the population standard deviations for both "populations" (we only have 1 overall population, not 2). What was the average attendance in each league? Round your answer to 3 decimal places. American League average attendance mil National League average attendance mil space space Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams in the American League vs teams in the National League. Use a 0.05 level of significance in your testing procedures. Additionally: You will need to know the standard deviations and variances for attendance in each league to conduct this test. We are assuming that both American and National League attendance…
Bootstrapping is a helpful tool when A. the sample size is too small to get an accurate estimate B. the sample proportion is very close to 0 or 1 C. we want to estimate a standard deviation in any context D. we don't have technology nearby
Angela recently discovered that the proportion of cat owners in Scranton, Pennsylvania, is 0.27. Suppose Angela were to select a random sample of n = 200 Scranton residents and determine the proportion within the sample who are cat owners. If this sampling process is repeated many times, we can build a sampling distribution. We know in this case the sampling distribution will be Normal in shape and will have a standard deviation equal to approximately ___________. Group of answer choices 0.0277 0.0175 0.0444 0.0314 0.0022
Given the sample data.x: 21 17 13 30 27 (d) Use the defining formulas to compute the sample variance s2 and sample standard deviation s. (Round your answers to two decimal places.) (e) Suppose the given data comprise the entire population of all x values. Compute the population variance ?2 and population standard deviation ?. (Round your answers to two decimal places.)
Which of the following is not needed to compute a t statistic? Question 18 options: A hypothesized value for the population mean The value of the population variance or standard deviation The value of the sample mean The value of the sample variance or standard deviation
Histograms of random sample data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of size 30,50 and 100 from the same population. a. Using the midpoint labels of the three histograms, what would you say about the estimated range of population data from smallest to largest? Does the bulk of the data seem to be between 8 and 12 all in three histograms? b. The population distribution from which the samples were drawn is symmetric and mound shaped, with the top of the mound at 10,95% of the data between 8 and 12, and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?
Suppose a simple random sample of size n= 50 is obtained from a population whose size is N= 10,000 and whose population proportion with a specified characteristic is p= 0.4. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. YA. Approximately normal because ns0.05N and np(1- p) 2 10. O B. Approximately normal because ns0.05N and np(1- p) < 10. O C. Not normal because ns 0.05N and np(1 - p) 2 10. O D. Not normal because ns0.05N and np(1- p) < 10. Determine the mean of the sampling distribution of p. HA = (Round to one decimal place as needed.)
(a) Find the standard error of the mean for each sampling situation (assuming a normal population). (Round your answers to 2 decimal places.) Standard Error (a) o = 20, n = 25 %3D (b) o = 20, n = 100 %3D (c) 0 = 20, n = 400 %3D (b) What happens to the standard error each time you quadruple the sample size? The standard error is (Click to select) v by half. nces on MacBook All
Part b
An IQ score has a Normal distribution with mean 50 and standard deviation 5. Assume we want a sample of size 9. What proportion of sample means (of size 9) are less than 46.1? (Select nearest answer if your exact answer is not provided below). Group of answer choices 0.16 0.05 0.01 0.0013
(a) Find the standard error of the mean for each sampling situation (assuming a normal population). (Round your answers to 2 decimal places.) Standard Error a. o = 30, n = 4 b. o = 30, n = 16 c. o = 30, n = 64
Independent simple random samples are taken to conduct a simple comparative test of the means of two populations. The sample sizes are n1 = 20 and n2 = 30. It is assumed that the variances of the populations are equal and that the populations are normally distributed. Which is the appropriate statistical test? a. pooled variance t test b.paired t test c. separate variance t test d. independent samples z test Which of the following must be used? a. z distribution b. t distribution with how many degrees of freedom?

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