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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: 9780137493470당신이 사용하는 게 아니라요?교과서 변경
모든 교과서Larson 8th EditionCh. 8 - Hypothesis Testing with Two Samples문제 8.R.22
8장, 문제 8.R.22

In Exercises 19–22, test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed.


Claim: μd≠0; α=0.05.


Sample statistics: d̄=17.5, sd=4.05, n=37



검증된 단계별 안내
1
Step 1: Identify the null and alternative hypotheses. The null hypothesis (H₀) is that the mean of the differences μd = 0, and the alternative hypothesis (H₁) is that μd ≠ 0. This is a two-tailed test since the claim is μd ≠ 0.
Step 2: Calculate the test statistic using the formula t = (d̄ - μd) / (sd / √n), where d̄ is the sample mean of the differences, μd is the hypothesized population mean of the differences (0 in this case), sd is the sample standard deviation of the differences, and n is the sample size.
Step 3: Determine the degrees of freedom (df) for the t-distribution. The degrees of freedom are calculated as df = n - 1, where n is the sample size.
Step 4: Find the critical t-value(s) for a two-tailed test at the significance level α = 0.05 and the calculated degrees of freedom. Use a t-distribution table or statistical software to find the critical values.
Step 5: Compare the calculated test statistic to the critical t-values. If the test statistic falls outside the range defined by the critical t-values, reject the null hypothesis. Otherwise, fail to reject the null hypothesis. Interpret the result in the context of the claim.

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Paired Data

Paired data refers to two sets of related observations, often collected from the same subjects under different conditions. This type of data is used in statistical tests to determine if there is a significant difference between the two conditions. In this context, the differences between paired observations are analyzed to test claims about their mean.
추천 영상:
가이드 코스
4:01
Introduction to Collecting Data

Hypothesis Testing

Hypothesis testing is a statistical method used to make inferences about population parameters based on sample data. It involves formulating a null hypothesis (H0) and an alternative hypothesis (H1), then using sample statistics to determine whether to reject H0. In this case, the claim is that the mean of the differences (μd) is not equal to zero, which is tested against a significance level (α) of 0.05.
추천 영상:
가이드 코스
06:21
Step 1: Write Hypotheses

Significance Level (α)

The significance level, denoted as α, is the threshold for determining whether a statistical result is significant. It represents the probability of rejecting the null hypothesis when it is actually true (Type I error). In this scenario, an α of 0.05 indicates that there is a 5% risk of concluding that a difference exists when there is none, guiding the decision-making process in hypothesis testing.
추천 영상:
가이드 코스
03:33
Finding Binomial Probabilities Using TI-84 Example 1
관련 실천
교과서 질문

In Exercises 1–4, classify the two samples as independent or dependent and justify your answer.


Sample 1: The retail prices of 20 motorcycles

Sample 2: The retail prices of 20 minivans

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교과서 질문

In Exercises 11–16, test the claim about the difference between two population means μ1 and μ2 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= 520, s1= 25, n1= 7 and x̅2= 500, s2= 55, n2= 6

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교과서 질문

In Exercises 9 and 10, (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.


A researcher claims that the mean sodium content of sandwiches at Restaurant A is less than the mean sodium content of sandwiches at Restaurant B. The mean sodium content of 22 randomly selected sandwiches at Restaurant A is 670 milligrams. Assume the population standard deviation is 20 milligrams. The mean sodium content of 28 randomly selected sandwiches at Restaurant B is 690 milligrams. Assume the population standard deviation is 30 milligrams. At α=0.05, is there enough evidence to support the claim?

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교과서 질문

In Exercises 23 and 24, (a) identify the claim and state Ho and Ha , (b) find the critical value(s) and identify the rejection region(s), (c) calculate d̄ and sd, (d) find the standardized test statistic t, (e) decide whether to reject or fail to reject the null hypothesis, and (f) interpret the decision in the context of the original claim. Assume the samples are random and dependent, and the populations are normally distributed.


A physical fitness instructor claims that a weight loss supplement will help users lose weight after two weeks. The table shows the weights (in pounds) of 9 adults before using the supplement and two weeks after using the supplement. At α=0.10, is there enough evidence to support the physical fitness instructor’s claim?


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교과서 질문

In Exercises 5–8, test the claim about the difference between two population means μ1 and μ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed.


Claim: μ1>μ2; α=0.05


Population statistics: σ1= 0.30 and σ2= 0.23


Sample statistics: x̅1 = 1.28, n1 = 96, and x̅2= 1.34, n2= 85

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교과서 질문

In Exercises 19–22, test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed.


Claim: μd<0; α=0.10.


Sample statistics: d̄=3.2, sd=5.68, n=25

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