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Ch. 8 - Hypothesis Testing with Two Samples
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Not the one you use?Change textbook
All textbooksLarson 8th EditionCh. 8 - Hypothesis Testing with Two SamplesProblem 8.1.6
Chapter 8, Problem 8.1.6

Independent and Dependent Samples In Exercises 5–8, classify the two samples as independent or dependent and justify your answer.
Sample 1: The IQ scores of 60 females
Sample 2: The IQ scores of 60 males

Verified step by step guidance
1
Identify the two samples provided in the problem: Sample 1 consists of the IQ scores of 60 females, and Sample 2 consists of the IQ scores of 60 males.
Understand the concept of independent and dependent samples: Independent samples are those where the observations in one sample do not influence or are not paired with the observations in the other sample. Dependent samples, on the other hand, involve paired or related observations (e.g., before-and-after measurements on the same individuals).
Examine the relationship between the two samples: In this case, the IQ scores of females and males are measured separately, and there is no indication that the scores of one group are paired or related to the scores of the other group.
Conclude that the two samples are independent because the observations in one sample (females) do not influence or correspond to the observations in the other sample (males).
Justify the classification by noting that the problem does not mention any pairing or dependency between the two groups, such as matching individuals based on specific criteria or measuring the same individuals under different conditions.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Independent Samples

Independent samples refer to two or more groups that are not related or paired in any way. In statistical analysis, this means that the selection of individuals in one sample does not influence the selection in the other. For example, if we compare the IQ scores of females and males, these groups are independent because the scores of one group do not affect the scores of the other.
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Dependent Samples

Dependent samples, also known as paired samples, involve groups that are related or matched in some way. This could occur in scenarios where the same subjects are measured under different conditions or at different times. For instance, if we measured the IQ scores of the same individuals before and after a specific intervention, those scores would be considered dependent.
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Statistical Justification

Statistical justification involves providing reasoning based on statistical principles to classify samples as independent or dependent. This includes analyzing the relationship between the samples and understanding how the data was collected. In the given question, the justification for classifying the IQ scores of females and males as independent samples is based on the fact that the two groups are distinct and do not influence each other.
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Related Practice
Textbook Question

Testing the Difference Between Two Means In Exercises 15–24, (a) identify the claim and state Ho and Ha, (b) find the critical value(s) and identify the rejection region(s), (c) find the standardized test statistic z, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. Assume the samples are random and independent, and the populations are normally distributed.

ACT Mathematics and Science Scores The mean ACT mathematics score for 60 high school students is 20.2. Assume the population standard deviation is 5.7. The mean ACT science score for 75 high school students is 20.6. Assume the population standard deviation is 5.9. At α=0.01, can you reject the claim that ACT mathematics and science scores are equal? (Source: ACT, Inc.)

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Textbook Question

Constructing Confidence Intervals for p1-p2 You can construct a confidence interval for the difference between two population proportions p1-p2 by using the inequality below.


[Image] Complicated mathematical formula.


In Exercises 23–26, construct the indicated confidence interval for p1-p2. Assume the samples are random and independent.


Critical Threats Repeat Exercise 25 but with a 99% confidence interval. Describe the likelihood that equal proportions of the population see cyberterrorism and the spread of infectious diseases as critical threats in the next 10 years.

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Textbook Question

Test the claim about the difference between two population means and at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed.

Claim: μ1<μ2, α=0.10, Assume (σ1)^2=(σ2)^2

Sample statistics:

x̅1=0.345, s1=0.305 , n1=11 and x̅2=0.515, s2=0.215, n2=9

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Textbook Question

Testing the Difference Between Two Means In Exercises 15–24, (a) identify the claim and state Ho and Ha, (b) find the critical value(s) and identify the rejection region(s), (c) find the standardized test statistic z, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. Assume the samples are random and independent, and the populations are normally distributed.

ACT English and Reading Scores The mean ACT English score for 120 high school students is 19.9. Assume the population standard deviation is 7.2. The mean ACT reading score for 150 high school students is 21.2. Assume the population standard deviation is 7.1. At α=0.10, can you support the claim that ACT reading scores are higher than ACT English scores? (Source: ACT, Inc.)

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Textbook Question

Find the critical value(s) for the alternative hypothesis, level of significance , and sample sizes and . Assume that the samples are random and independent, the populations are normally distributed, and the population variances are (a) equal and (b) not equal.

Ha:μ1>μ2 , α=0.01 , n1=12 , n2=15

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Textbook Question

An education organization claims that the mean SAT scores for male athletes and male non-athletes at a college are different. A random sample of 26 male athletes at the college has a mean SAT score of 1189 and a standard deviation of 218. A random sample of 18 male non-athletes at the college has a mean SAT score of 1376 and a standard deviation of 186. At α=0.05, can you support the organization’s claim? Interpret the decision in the context of the original claim. Assume the populations are normally distributed and the population variances are equal.

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