Given two dependent random samples with the following results:Population 1 19 26 26 30 48 33 31Population 2 24 38 40 38 39 41 291Use this data to find the 98% confidence interval for the true difference between thepopulation means. Assume that both populations are normally distributed.Step 1. Find the point estimate for the population mean of the paired differences. Letx₁ be the value from Population 1 and x₂ be the value from Population 2 and use theformula d = x₂-x₁ to calculate the paired differences. Round your answer to onedecimal place.Answer:Step 2. Calculate the sample standard deviation of the paired differences. Round youranswer to six decimal places.Answer:Step 3. Calculate the margin of error to be used in constructing the confidence interval.Round your answer to six decimal places.Answer:Step 4. Construct the 98% confidence interval. Round your answers to one decimalplace.Answer: Lower endpoint:Upper endpoint:

Given Information: The data set is, Population 1 Population 2 19 24 26 38 26 40 30 38…

Answered: Given two dependent random samples with…

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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I have asked this question twice and both times it has been wrong. Answer given F=.82 and .77 both these are incorrect. A bakery is considering buying one of two gas ovens. The bakery requires that the temperature remain constant during a baking operation. A study was conducted to measure the variance in temperature of the ovens during the baking process. The variance in temperature before the thermostat restarted the flame for the Monarch oven was 3.3 for 22 measurements. The variance for the Kraft oven was 4 for 25 measurements. Does this information provide sufficient reason to conclude that there is a difference in the variances for the two ovens? Assume measurements are normally distributed and use a 0.02 level of significance.
Suppose X, Y and Z are 3 random variables. The mean of X is 2. The mean of Y is 3. The mean of Z is 4. The standard deviations are 1, 2, and 3 (in the same order). The correlation between any two is -1/4. Find the mean and variance of T = X +Y+ 2Z.
The given quantities below were calculated from a sample data set. Στο 338 I Lu=308 Ση2 = 4678 2 y = 4236 Determine the least squares regression line. Round values to four decimal places, if necessary. Σry = 3595 n = 30 Determine the correlation coefficient. Round the solution to four decimal places, if necessary.
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Two samples, sizes 40 and 50 respectively, are taken from a population with unknown mean μ and unknown variance 2σ . The data is shown below. Sample I X1 35 36 37 38 39 f 3 7 15 10 5 Sample II X2 35 36 37 38 39 40f 10 21 8 6 3 2 Using the data from the two samples above, obtain unbiased estimates of i. The population mean ii. The population variance
Justin wants to know whether a commonly prescribed drug does improve the attention span of students with attention deficit disorder (ADD). He knows that the mean attention span for students with ADD who are not taking the drug is 2.3 minutes long. His sample of 12 students taking the drug yielded a mean of 4.6 minutes. Justin can find no information regarding σx , so he calculated s2x =1.96. a. Identify the independent and dependent variables. b. In a sentence, state the null hypothesis being tested. c. Using symbols, state the null and alternative hypotheses. d. Determine the critical region using a one-tailed test with alpha = .05. e .Conduct the hypothesis test (Do the math and compare the t-critical and t-obtained values). f. State your conclusions in terms of H0 (Should you reject the H0 or fail to reject/accept the H0). g. Based on your analysis, is there a relationship between the drug and attention span?
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