The accounting department analyzes the variance of the weekly unit costs reported by two production departments. A sample of 16cost reports for each of the two departments shows cost variances of 2.3 and 5.4, respectively. Is this sample sufficient to concludethat the two production departments differ in terms of unit cost variance? Use a = .10.a. State the null and alternative hypotheses.Ho: 0 12 SelectH221Selectb. Calculate the value of the test statistic (to 2 decimals).c. The p-value is Selectd. What is your conclusion?Select

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Answered: The accounting department analyzes 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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In the macro relation between GDP and FDI, Dr Mudenda obtained the following valuesfrom a Stata output: FDI coefficient of 0.45; t-statistic of 3; and covariance (GDP, FDI)value of 0.41. In literature, this relationship between GDP and FDI has generally beenestablished to be statistically significant. Answer the following questions:i) Calculate the variance of the FDI variable and explain its implicationii) Use the confidence interval approach to test whether FDI’s influence on GDP isstatically significant or not in Dr Mudenda’s study. Use 5% level which gives 1.96critical values.iii) What is the expected value of the p-values for studies that have been conductedin literature?
A snack food manufacturer estimates that the variance of the number of grams of carbohydrates in servings of its tortilla chips is 1.25. A dietician is asked to test this claim and finds that a random sample of 22 servings has a variance of 1.35. At ⍶ = 0.05 is there enough evidence to reject the manufacturer’s claim?
In building an arena, steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa) with a variance of 81 MPa were delivered by the manufactured. The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa. The decision for the extension of the contract with the manufacturer depends on the engineer. Test the hypothesis whether there is no significant difference between the two means using a two-tailed with a=0.01
In building an arena , steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa ) with a variance of 81 MPa were delivered by the manufacturer . The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa The decision for the extension of the contract with the manufacture depends on the engineer . Test the hypothesis whether or not there is no significant difference between the two means using a two-tailed test with a = 0.01 1. What are the appropriate hypotheses for the two tailed test ? 2. What is the test statistic to be used and the reasons for its selection ? 3. What is the critical value c? 4. What is the value of the test statistic or the computed value? 5. Formulate a conclusion about the given situation
In building an arena, steel bars with a mean ultimate tensile strength of 400Megapascal (MPa) with a variance of 81 MPa were delivered by the manufacturer. The projectengineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa.The decision for the extension of the contract with the manufacturer depends on the engineer.Test the hypothesis whether or not there is no significant difference between the two meansusing a two-tailed test with a = 0.01.
The accounting department analyzes the variance of the weekly unit costs reported by two production departments. A sample of 16 cost reports for each of the two departments shows cost variances of 2.3 and 5.4, respectively. Is this sample sufficient to conclude that the two production departments differ in terms of unit cost variance? Use ? = 0.10. State the null and alternative hypotheses. -H0: ?12 > ?22 Ha: ?12 ≤ ?22 -H0: ?12 ≠ ?22 Ha: ?12 = ?22 -H0: ?12 ≤ ?22 Ha: ?12 > ?22 -H0: ?12 = ?22 Ha: ?12 ≠ ?22 Find the value of the test statistic. (Round your answer to two decimal places.) statistic=?? Find the p-value. (Round your answer to four decimal places. Remember: When using WebAssign technology to find p-values, use the entire test statistic (not the rounded answer from the previous question.)) p-value = ?? State your conclusion. -Reject H0. We can conclude that there is a difference between the population variances. -Do not reject H0. We cannot conclude that…
A scrap metal dealer claims that the mean of his cash is 'no more than R80', but an Internal Revenue Service agent believes that the dealer is untruthful. The agent randomly selects a sample of 20 cash customers and find the mean purchase to be R91, with a variance of R441. What is The correct conclusion at 5% significance level if the test statistic value is 2,3425?
The accounting department analyzes the variance of the weekly unit costs reported by two production departments. A sample of 16 cost reports for each of the two departments shows cost variances of 2.3 and 5.4, respectively. Is this sample sufficient to conclude that the two production departments differ in terms of unit cost variance? Use = .10. State the null and alternative hypotheses.0: 1 2 2 2 a: 1 2 2 2 Calculate the value of the test statistic (to 2 decimals).
Two different brands of milk are randomly sampled, and the fat content in each bottle is determined. Twenty-six bottles of Brand A yielded an average fat content of 26 grams with a standard deviation of 5 grams, and 31 bottles of Brand B yielded an average fat content of 25.8 grams with a standard deviation of 7 grams. Test the hypothesis at the 10% level of significance that the variances are different.
The r2represents the shared variance between a predictor and _______
A manager of a computer software store thinks that, even though the average number of buyers or clients is approximately the same as 5 years ago, the number of buyers or clients is more volatile that it was 5 years ago. In a sample of 26 weeks from 5 years ago, the standard deviation of buyers was 31 per week while in a sample of 21 weeks over the past year the standard deviation is 26 per week. Test the hypothesis at the 2.5% level of significance that the variance has increased from 5 years ago.
A carpet manufacturer is studying the differences between two of its major outlet stores. The company is interested in the time it takes for customers to receive carpeting that has been ordered from the plant. Data concerning a sample of delivery times for the most popular type of carpet are summarized as follows: Acme Store Betty’s Store x̄ 43.7 days 34.3 days s 3.1 days 2.4 days n 31 orders 41 orders Assuming equal variances, determine at the 5% level of significance, if there is enough evidence from the sample data to conclude that Acmes’ store must wait on average significantly longer for the carpet to be delivered than Betty’s store? Then calculate and interpret a (1-α)% CI for µA - µB. Does the interval estimate for µAcme - µBetty’s support the decision? Explain. Recall that we only use the p-value decision rule for 2 sample t-tests.

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