Hypotheses Identify the null and alternative hypotheses for using the sample data from Exercise 8 in testing the claim that for differences between right-arm systolic blood pressure amounts and left-arm systolic blood pressure amounts, those differences are from a population with a mean equal to 0.

Short Answer

Expert verified

The hypotheses are stated below:

\(\begin{array}{l}{H_o}:{\mu _d} = 0\;{\rm{mm}}\;{\rm{Hg}}\\{H_1}:{\mu _d} \ne 0\,{\rm{mm}}\;{\rm{Hg}}\end{array}\)

Here,\({\mu _d}\) is the difference betweentwo true mean blood pressure measurements (left- and right-hand measurements in mm Hg) of the population.

Step by step solution

01

Given information

Refer to Exercise 8 for the study of systolic blood pressure measurements in mm Hg.

02

Explain the hypotheses

Hypotheses are always expressed in pairs, one being the null and the other alternative. The null expresses the supposition, which includes no change, while the alternative expresses the supposition for change in results.

Thus, the null hypothesis is always expressed with an equal to sign (greater than or equal to as well as less than or equal to).

03

Identify the hypotheses for the claim

It is required to test the claim using the reference exercise 8; that the difference in the true mean measurements of the blood pressure in left and right arm for populations is 0.

Let\({\mu _{L,}}{\mu _R}\)be the true mean measurements of the blood pressureleft and right arm, respectively, for a population of subjects.

As the data consists of paired samples (each observation in two samples is from one subject), it is a case of a hypothesis test for dependent samples.

Define\({\mu _d} = {\mu _L} - {\mu _R}\)as the difference in two mean measures.

Thus, the hypotheses are formulated as per the claim.

\(\begin{array}{l}{H_o}:{\mu _d} = 0\;{\rm{mm}}\;{\rm{Hg}}\\{H_1}:{\mu _d} \ne 0\,{\rm{mm}}\;{\rm{Hg}}\end{array}\)

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Most popular questions from this chapter

Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Cell Phones and Handedness A study was conducted to investigate the association between cell phone use and hemispheric brain dominance. Among 216 subjects who prefer to use their left ear for cell phones, 166 were right-handed. Among 452 subjects who prefer to use their right ear for cell phones, 436 were right-handed (based on data from “Hemi- spheric Dominance and Cell Phone Use,” by Seidman et al., JAMA Otolaryngology—Head & Neck Surgery, Vol. 139, No. 5). We want to use a 0.01 significance level to test the claim that the rate of right-handedness for those who prefer to use their left ear for cell phones is less than the rate of right-handedness for those who prefer to use their right ear for cell phones. (Try not to get too confused here.)

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

Heights Use a 0.01 significance level with the sample data from Exercise 3 to test the claim that women have heights with a mean that is less than the mean height of men.

Confidence Interval for Haemoglobin

Large samples of women and men are obtained, and the haemoglobin level is measured in each subject. Here is the 95% confidence interval for the difference between the two population means, where the measures from women correspond to population 1 and the measures from men correspond to population 2: -1.76g/dL<μ1-μ2<-1.62g/dL.

a. What does the confidence interval suggest about equality of the mean hemoglobin level in women and the mean hemoglobin level in men?

b. Write a brief statement that interprets that confidence interval.

c. Express the confidence interval with measures from men being population 1 and measures from women being population 2.

Are Flights Cheaper When Scheduled Earlier? Listed below are the costs (in dollars) of flights from New York (JFK) to Los Angeles (LAX). Use a 0.01 significance level to test the claim that flights scheduled one day in advance cost more than flights scheduled 30 days in advance. What strategy appears to be effective in saving money when flying?

Delta

Jet Blue

American

Virgin

Alaska

United

1 day in advance

501

634

633

646

633

642

30 days in advance

148

149

156

156

252

313

Using Confidence Intervals

a. Assume that we want to use a 0.05 significance level to test the claim that p1 < p2. Which is better: A hypothesis test or a confidence interval?

b. In general, when dealing with inferences for two population proportions, which two of the following are equivalent: confidence interval method; P-value method; critical value method?

c. If we want to use a 0.05 significance level to test the claim that p1 < p2, what confidence level should we use?

d. If we test the claim in part (c) using the sample data in Exercise 1, we get this confidence interval: -0.000508 < p1 - p2 < - 0.000309. What does this confidence interval suggest about the claim?

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