The following gives information about the proportion of a sample that agree with a certain statement. Use StatKey or other technology to find a confidence interval at the given confidence level for the proportion of the population to agree, using percentiles from a bootstrap distribution. StatKey tip: Use "CI for Single Proportion" and then "Edit Data" to enter the sample information. Find a 90% confidence interval if 112 agree and 288 disagree in a random sample of 400 people. Click here to access StatKey. Round your answers to three decimal places. Generate at least 1000 bootstrap samples. The 90% confidence interval is i to eTextbook and Media

The following gives information about the proportion of a sample that agree with a certain statement. Use StatKey or other technology to find a confidence interval at the given confidence level for the proportion of the population to agree, using percentiles from a bootstrap distribution. StatKey tip: Use "CI for Single Proportion" and then "Edit Data" to enter the sample information. Find a 90% confidence interval if 112 agree and 288 disagree in a random sample of 400 people. Click here to access StatKey. Round your answers to three decimal places. Generate at least 1000 bootstrap samples. The 90% confidence interval is i to eTextbook and Media

Auditing: A Risk Based-Approach (MindTap Course List)

11th Edition

ISBN:9781337619455

Author:Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg

Publisher:Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg

Chapter8: Specialized Audit Tools: Attributes Sampling, Monetary Unit Sampling, And Data Analytics Tools

Section: Chapter Questions

Problem 29RQSC

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Similar questions

You may need to use the appropriate appendix table or technology to answer this question. A population proportion is 0.60. A sample of size 300 will be taken and the sample proportion p will be used to estimate the population proportion. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.03 of the population proportion? (b) What is the probability that the sample proportion will be within ±0.05 of the population proportion?
Consider a sample with data values of 10, 20, 12, 17, and 16. a. Compute the mean and median. b. Consider a sample with data values 10, 20, 12, 17, 16, and 12. How would you expect the mean and median for these sample data to compare to the mean and median for part a (higher, lower, or the same)? Compute the mean and median for the sample data 10, 20, 12, 17, 16, and 12.
How large a sample should be selected to provide a 95% confidence interval with a margin of error of 6? Assume that the population standard deviation is 20. Round your answer to next whole number.
Assume that you have selected a random sample of 15 checks from a population of 800 checks. The checks you have selected are the following numbers: 664, 789, 650, 136, 365, 538, 800, 657, 110, 136, 398, 645, 214, 544, and 777. Based on this sample, evaluate the truth of the following statements regarding your findings. Describe why you feel each statement is true or false. a. You have determined that Check No. 365 was not properly signed and was paid to a fictitious vendor. You conclude that fraud exists in the population. b. You have determined that no fraud exists in the sample of 15 checks you evaluated. You conclude that no fraud exists in the population.
(2 points) Suppose that we are to conduct the following hypothesis test: Ho p H₁ == 1050 1050 στ == Suppose that you also know that σ = 250, n = 95, 1090, and take a = 0.1. Draw the sampling distribution, and use it to determine each of the following: A. The value of the standardized test statistic: Note: For the next part, your answer should use interval notation. An answer of the form (-00, a) is expressed (-infty, a), an answer of the form (b, x) is expressed (b, infty), and an answer of the form (-00, a) U (b, c) is expressed (-infty, a)U(b, infty). B. The rejection region for the standardized test statistic: C. The p-value is D. Your decision for the hypothesis test: A. Do Not Reject H₁. B. Do Not Reject Ho- C. Reject Ho D. Reject H₁.
Suppose you're given a data set that classifies each sample unit into one of four categories: A, B, C, the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D or quantitative? Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative? OA. Qualitative, because they are measured on a naturally occuring numerical scale. B. Quantitative, because they are measured on a naturally occuring numerical scale. C. Quantitative, because they can only be classified into categories. D. Qualitative, because they can only be classified into categories. *** After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided. B. Qualitative, because they are measured on a naturally occurring numerical scale. OC. Quantitative, because they are measured on a naturally occurring numerical scale. OD. Quantitative, because…
Read the t statistic from the table of t distributions and circle the correct answer. A two-tailed test, a sample of 40 at a .01 level of significance; t = choice a,b,c,d as followed 2.708 1.328 1.96 2.567
In a simple linear regression based on 20 observations, it is found b1 = 3.05 and se(b1) = 1.30. Consider the hypothesis : H0 : β1 = 0 and HA : β1 ≠ 0 . Calculate the value of the test statistic.
What is the test statistics and critical values. I got 4.20 for the test statistic, but it says its incorrect.
The following is a set of data from a sample of n= 11 items. Complete parts (a) through (c). 14 13 4 15 3 16 12 10 19 1 Y 28 26 8 30 6 32 24 20 38 2 a. Compute the covariance. |(Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. O A. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. X and Y have a strong positive correlation because as X increases, Y tends to increase also. C. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. D. X and Y have no correlation. 124
I’ve tried 3.47 and 3.96 and it says they're incorrect what is the right solution?
None