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An old medical textbook states that the mean sodium level for healthy adults is 138mEq per liter of blood. A medical researcher believes that, because of modern dietary habits, the mean sodium level for healthy adults, μ, now differs from that given in the textbook. A random sample of 60 healthy adults is evaluated. The mean sodium level for the sample is 142mEqper liter of blood. It is known that the population standard deviation of adult sodium levels is13 mEq. Can we conclude, at the 0.05 level of significance, that the population mean adult sodium level differs from that given in the textbook? Perform a two-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (For z test statistics) every expert has gotten the z test statistic wrong thus far. I have included pictures of a sample problem and formula. A. State the null hypothesis H0 and the alternative hypothesis H1 B. Find the value of the test statistic. (Round to three or more decimal places.) C. Find the p-value. (Round to three or more decimal places.)

An old medical textbook states that the mean sodium level for healthy adults is 138mEq per liter of blood. A medical researcher believes that, because of modern dietary habits, the mean sodium level for healthy adults, μ, now differs from that given in the textbook. A random sample of 60 healthy adults is evaluated. The mean sodium level for the sample is 142mEqper liter of blood. It is known that the population standard deviation of adult sodium levels is13 mEq. Can we conclude, at the 0.05 level of significance, that the population mean adult sodium level differs from that given in the textbook? Perform a two-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (For z test statistics) every expert has gotten the z test statistic wrong thus far. I have included pictures of a sample problem and formula. A. State the null hypothesis H0 and the alternative hypothesis H1 B. Find the value of the test statistic. (Round to three or more decimal places.) C. Find the p-value. (Round to three or more decimal places.)

MATLAB: An Introduction with Applications
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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An old medical textbook states that the mean sodium level for healthy adults is 138mEq per liter of blood. A medical researcher believes that, because of modern dietary habits, the mean sodium level for healthy adults, μ, now differs from that given in the textbook. A random sample of 60 healthy adults is evaluated. The mean sodium level for the sample is 142mEqper liter of blood. It is known that the population standard deviation of adult sodium levels is13 mEq. Can we conclude, at the 0.05 level of significance, that the population mean adult sodium level differs from that given in the textbook? Perform a two-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.)

(For z test statistics) every expert has gotten the z test statistic wrong thus far. I have included pictures of a sample problem and formula.

A. State the null hypothesis H0 and the alternative hypothesis H1

B. Find the value of the test statistic. (Round to three or more decimal places.)

C. Find the p-value. (Round to three or more decimal places.) 

 

(c) Finding the value of the test statistic The value of this test statistic is the z-value corresponding to the sample proportion under the assumption that His true. Here is i P-P p(1-p) n 36 43 0.80 0.80(1-0.80) 215 1.364
Transcribed Image Text:(c) Finding the value of the test statistic The value of this test statistic is the z-value corresponding to the sample proportion under the assumption that His true. Here is i P-P p(1-p) n 36 43 0.80 0.80(1-0.80) 215 1.364
A marriage counselor has traditionally seen that the proportion p of all married couples for whom her communication program can prevent divorce is 80%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in more than 80% of married couples. In a random sample of 215 married couples who completed her program, 180 of them stayed together. Based on this sample, is there enough evidence to support the marriage counselor's claim at the 0.05 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)
Transcribed Image Text:A marriage counselor has traditionally seen that the proportion p of all married couples for whom her communication program can prevent divorce is 80%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in more than 80% of married couples. In a random sample of 215 married couples who completed her program, 180 of them stayed together. Based on this sample, is there enough evidence to support the marriage counselor's claim at the 0.05 level of significance? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)
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