A company has a maximum population variance allowed of 0.04 for its bottle filing machines. A sample of 35 bottles from Machine 1 showed a mean volume of 3.3 ounces and a variance of 0.06. Use a = 0.05 to test whether the population variance specified is being violated. a) Formulate the hypotheses for this problem. b) Show the formula for the test statistic, substitute your values into the formula and compute the test statistic. c) Using either the p-value approach or the critical value approach, test the hypotheses. (You must report the p-value or critical value you found using tables or excel. If using excel, report the value to a minimum of 4 decimal places.) d) What is your conclusion? (Do not only say that you reject, or you do not reject the null hypothesis. Relate your conclusion to the question)

A company has a maximum population variance allowed of 0.04 for its bottle filing machines. A sample of 35 bottles from Machine 1 showed a mean volume of 3.3 ounces and a variance of 0.06. Use a = 0.05 to test whether the population variance specified is being violated. a) Formulate the hypotheses for this problem. b) Show the formula for the test statistic, substitute your values into the formula and compute the test statistic. c) Using either the p-value approach or the critical value approach, test the hypotheses. (You must report the p-value or critical value you found using tables or excel. If using excel, report the value to a minimum of 4 decimal places.) d) What is your conclusion? (Do not only say that you reject, or you do not reject the null hypothesis. Relate your conclusion to the question)

Name: A company has a maximum population variance allowed of 0.04 for its b
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A company has a maximum population variance allowed of 0.04 for its bottle filing machines. Asample of 35 bottles from Machine 1 showed a mean volume of 3.3 ounces and a variance of0.06. Use a = 0.05 to test whether the population variance specified

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The t test for the mean difference between 2 related populations assumes that the population sizes are equal. sample variances are equal. population of differences is approximately normal or sample sizes are large enough. All of the above.
Suppose that you want to perform a hypothesis test based on independent random samples to compare the means of two populations. You know that the two distributions of the variable under consideration have the same shape and may be normal. You take the two samples and find that the data for one of the samples contain outliers. Which procedure would you use? Explain your answer.
Suppose the mean and variance of variable X are given respectively by μ = 36.2 and Var(X) =4.2. What is the average of the squared values of variable X?
An electronic company's records show that the mean number of circuit.boards rejected per batch is 5.7 with a variance of 1.4. Due to a change in the molding process, factory management has hired you to perform a hypothesis test to check if the variance, o, has increased. To do so, you test a random sample of 10 batches produced using the new process; the number of circuit boards rejected per batch has a sample variance of 2.5. Under the assumption that the number of circuit boards rejected per batch using the new process follows a normal distribution, you will perform a chi-square test. Find x, the value of the test statistic for your chi-square test. Round your answer to three or more decimal places. * = 0
please don't provide hand writtin solution....
There are two samples. Sample 1 has n=10 and a sample variance of 4. Sample 2 has n=8 and a sample variance of 9. Calculate the standard error of the difference between the two sample means (to 2 decimal points). Assume that the variances in the two populations that produced the samples are equal.
The average score on a statistics test was 2.52 with a standard deviation of 0.75. The teacher suspects that the exam was very difficult; Based on the above, he wants to adjust the scores so that the mean is 3.58 and the standard deviation is 0.25. Compute the values a and b such that the fit of type aX+b provide the desired mean and variance? Calculate: a=?b=?
A researcher was interested in knowing if mean BMI was different between males and females. He obtained the following test results. Choose the correct interpretation of the results: F test p value = 0.03 Two sample t test, assume equal variance = 0.02 Two sample t test, assume unequal variance = 0.06 Mean BMI is higher in males than females. None Mean BMI is not significantly different between males and females. Mean BMI is significantly different between males and females.
suppose that we have disjoint normal populations A and B and we want to find the standard error estimate for estimating the difference in their means. We have an IRS from A of size 8 with variance 25 and an IRS from B of size 9 with variance 16. What is the resulting standard error estimate if we assume both populations have the same population variance?
Suppose data is collected to predict y from x. If the size of Sample ✓ Calculate the p-value if the test statistic is t = -1.38
The population mean will always be the same as the mean of all possible that can be computed from samples of size 27. True O False
An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 250 engines and the mean pressure was 6.8pounds/square inch (psi). Assume the population variance is 0.810.81. If the valve was designed to produce a mean pressure of 6.7 psi, is there sufficient evidence at the 0.1 level that the valve performs above the specifications? Step 1 of 6: State the null and alternative hypotheses. Step 2 of 6: Find the value of the test statistic. Round your answer to two decimal places. Step 3 of 6: Specify if the test is one-tailed or two-tailed. Step 4 of 6: Find the P-value of the test statistic. Round your answer to four decimal places. Step 5 of 6: Identify the level of significance for the hypothesis test. Step 6 of 6: Make the decision to reject or fail to reject the null hypothesis.