StateParolees (per 100,000 people)Florida28Illinois299Pennsylvania1,035Ohio193Georgia334Michigan239North Carolina130New Jersey214Virginia27Source: National Institute of Corrections, Correction Statistics by State, 2016.a. Assume that o = 226.83 for the entire population of 50 states. Calculate and interpretthe standard error. (Consider the formula for the standard error. Since we providedthe population standard deviation, calculating the standard error requires only minorcalculations.)b. Write a brief statement on the following: the standard error compared with thestandard deviation of the population, the shape of the sampling distribution, andsuggestions for reducing the standard error. lon?C12. The following table presents the number of parolees (per 100,000 people) for 12 of themost populous states as of July 2015.StateParolees (per 100,000 people)California292Texas556New York288

Given, State Parolees (per 100,000 people) California 292 Texas 556 New York 288 Florida…

Answered: a. Assume that o = 226.83 for the…

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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Find the mean and standard error of the mean of the sampling distribution. Then sketch a graph of the sampling distribution. The prices of photo printers on a website are normally distributed with a mean of $238 and a standard deviation of $67. Random samples of size 33 are drawn from this population and the mean of each sample is determined.
Which statement below is correct? a. Standard deviation should be used when calculating z for a single score, while standard error should be used when calculating z for a sample mean. b. When calculating z for a single score or for a sample mean, the standard error should be used. c. Standard error should be used when calculating z for a single score, while standard deviation should be used when calculating z for a sample mean. d. When calculating z for a single score or for a sample mean, the standard deviation should be used.
Compare the population variance to the mean of the sample variances. Choose the correct answer below. A. The population variance is equal to the square root of the mean of the sample variances. B. The population variance is equal to the mean of the sample variances. C. The population variance is equal to the square of the mean of the sample variances.
A population has a mean p= 75 and a standard deviation o= 6. Find the mean and standard deviation of a sampling distribution of sample means with sample size n= 36. (Simplify your answer.)
Explain the difference between absolute and relative dispersion. If 20 is subtracted from every observation in a data set, then the coefficient of variation of the resulting data set is 20% If 40 is added to every observation of the same data set, then the coefficient of variation of the resulting set of data is 10%. Find the mean and standard deviation of the original set of data.
Consider the following data set. You may assume that the mean of this data set is x¯ = 7. 8 10 3 5 7 5 11 a) Find the range of the data set. b) Find the standard deviation of the data set. c) How many of the seven data points lie within one standard deviation of the mean?
Listed in the data table are IQ scores for a random sample of subjects with medium lead levels in their blood. Also listed are statistics from a study done of IQ scores for a random sample of subjects with high lead levels. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Click the icon to view the data table of IQ scores. a. Use a 0.05 significance level to test the claim that the mean IQ scores for subjects with medium lead levels is higher than the mean for subjects with high lead levels. What are the null and alternative hypotheses? Assume that population 1 consists of subjects with medium lead levels and population 2 consists of subjects with high lead levels. X A. Ho: H₁ H₂ H₁ H₁ H₂ c. Ho: M₁ = H₂ H₁: H₁ H₂ The test statistic is 0.56. (Round to two decimal places as needed.) The P-value is (Round to three decimal…
A data set lists weights (lb) of plastic discarded by households. The highest weight is 5.63 lb, the mean of all of the weights is x = 2.316 lb, and the standard deviation of the weights is s = 1.087 lb. a. What is the difference between the weight of 5.63 lb and the mean of the weights? b. How many standard deviations is that [the difference found in part (a)]? c. Convert the weight of 5.63 lb to a z score. d. If we consider weights that convert to z scores between 2 and 2 to be neither significantly low nor significantly high, is the weight of 5.63 lb significant? a. The difference is lb. (Type an integer or a decimal. Do not round.) Clear all Check awer
A data set lists weights (Ib) of plastic discarded by households. The highest weight is 5.72 Ib, the mean of all of the weights is x= 2.345 lb, and the standard deviation of the weights is s =2.123 lb. a. What is the difference between the weight of 5.72 lb and the mean of the weights? b. How many standard deviations is that (the difference found in part (a))? c. Convert the weight of 5.72 Ib to a z score d. If we consider weights that convert to z scores between -2 and 2 to be neither significantly low nor significantly high, is the weight of 5.72 Ib significant? a. The difference is lb. (Type an integer or a decimal. Do not round.) b. The difference is standard deviations. (Round to two decimal places as needed.) c. The z score is z= (Round to two decimal places as needed.) d. The highest weight is
A university dean wishes to estimate the average number of hours his part-time instructors teach per week. The standard deviation from the previous study is 2.6 hours. How large a sample must be selected if he wants to be 99% confident of finding whether the true mean differs from the sample mean by 1 hour? 20 45 44 19 What is the margin of error? minutes

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