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Ch. 7 - Hypothesis Testing with One Sample
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470Not the one you use?Change textbook
Chapter 7, Problem 7.2

In Exercise 1, you rejected the claim that p=0.53. But this claim was true. What type of error is this?

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1
Understand the context: In hypothesis testing, there are two types of errors - Type I error and Type II error. A Type I error occurs when the null hypothesis is rejected even though it is true. A Type II error occurs when the null hypothesis is not rejected even though it is false.
Identify the null hypothesis (H₀): The null hypothesis in this case is that p = 0.53.
Analyze the situation: The problem states that you rejected the claim that p = 0.53, but this claim was actually true. This means you rejected a true null hypothesis.
Determine the type of error: Rejecting a true null hypothesis corresponds to a Type I error.
Conclude: The error made in this situation is a Type I error.

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Key Concepts

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

Type I Error

A Type I error occurs when a true null hypothesis is incorrectly rejected. In the context of hypothesis testing, this means concluding that there is an effect or difference when, in fact, there is none. This type of error is often denoted by the significance level alpha (α), which represents the probability of making this error.
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Null Hypothesis (H0)

The null hypothesis is a statement that there is no effect or no difference, and it serves as the default assumption in hypothesis testing. In this case, the null hypothesis would state that the population proportion p is equal to 0.53. Researchers test this hypothesis against an alternative hypothesis to determine if there is enough evidence to reject it.
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Statistical Significance

Statistical significance refers to the likelihood that a result or relationship observed in data is not due to random chance. It is typically assessed using a p-value, which indicates the probability of observing the data if the null hypothesis is true. A result is considered statistically significant if the p-value is less than the predetermined significance level, often set at 0.05.
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Related Practice
Textbook Question

Hypothesis Testing Using Rejection Regions In Exercises 7–12, (a) identify the claim and state H0 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.


Vaccinations In 2021, a reporter claims that at least 55% of U.S. adults feel that COVID-19 vaccinations should be required for high school students to attend school in the fall. In a random sample of 200 U.S. adults, 56% feel that COVID-19 vaccinations should be required for high school students to attend school in the fall. At α=0.10, is there enough evidence to reject the reporter’s claim?

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Textbook Question

Identifying the Nature of a Hypothesis Test In Exercises 37–42, state and in words and in symbols. Then determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Explain your reasoning. Sketch a normal sampling distribution and shade the area for the P-value.


Lung Cancer A report claims that lung cancer accounts for 25% of all cancer diagnoses.

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Textbook Question

Hypothesis Testing Using a P-Value In Exercises 13–16, (a) identify the claim and state H0 and Ha, (b) use technology to find the P-value, (c) decide whether to reject or fail to reject the null hypothesis, and (d) interpret the decision in the context of the original claim.


Stray Cats An animal advocate claims that 25% of U.S. households have taken in a stray cat. In a random sample of 500 U.S. households, 105 say they have taken in a stray cat. At α=0.05, is there enough evidence to reject the advocate’s claim?

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Textbook Question

Identifying the Nature of a Hypothesis Test In Exercises 37–42, state and in words and in symbols. Then determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Explain your reasoning. Sketch a normal sampling distribution and shade the area for the P-value.


Golf A golf analyst claims that the standard deviation of the 18-hole scores for a golfer is less than 2.1 strokes.

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Textbook Question

Graphical Analysis In Exercises 17–20, match the alternative hypothesis with its graph. Then state the null hypothesis and sketch its graph.


Ha: μ > 3


a.

b.

c.

d.

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Textbook Question

Interpreting a P-Value In Exercises 3–8, the P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H0 when the level of significance is (a)α=0.01, (b) α=0.05 , and (c) α=0.10.


P = 0.0838

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