Skip to main content
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 7.1.6

True or False? In Exercises 5–10, determine whether the statement is true or false. If it is false, rewrite it as a true statement.


A statistical hypothesis is a statement about a sample.

Verified step by step guidance
1
Understand the definition of a statistical hypothesis: A statistical hypothesis is a statement or claim about a population parameter (e.g., population mean, proportion, variance) rather than a sample.
Analyze the given statement: The problem claims that a statistical hypothesis is a statement about a sample.
Compare the definition with the statement: Since a statistical hypothesis pertains to the population and not the sample, the given statement is false.
Rewrite the statement to make it true: A statistical hypothesis is a statement about a population parameter, not a sample.
Conclude the reasoning: The corrected statement aligns with the definition of a statistical hypothesis, ensuring clarity and accuracy.

Verified video answer for a similar problem:

This video solution was recommended by our tutors as helpful for the problem above.
Video duration:
1m
Was this helpful?

Key Concepts

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

Statistical Hypothesis

A statistical hypothesis is a specific claim or assertion about a population parameter, such as a mean or proportion. It can be tested using statistical methods to determine its validity. Hypotheses are typically formulated in pairs: the null hypothesis (H0), which represents no effect or no difference, and the alternative hypothesis (H1), which represents the effect or difference being tested.
Recommended video:
Guided course
06:34
Step 2: Calculate Test Statistic

Population vs. Sample

In statistics, a population refers to the entire group of individuals or instances about which we seek to draw conclusions, while a sample is a subset of that population selected for analysis. Hypotheses are generally concerned with population parameters, not sample statistics, as they aim to infer characteristics of the whole population based on the sample data.
Recommended video:
05:11
Sampling Distribution of Sample Proportion

True/False Statements in Statistics

In statistical exercises, determining the truth value of a statement often involves understanding the definitions and relationships between concepts. A statement can be true or false based on established statistical principles, and if false, it can be rewritten to reflect the correct understanding, such as clarifying that a statistical hypothesis pertains to a population rather than a sample.
Recommended video:
Guided course
06:34
Step 2: Calculate Test Statistic
Related Practice
Textbook Question

Explain how to find critical values for a t-distribution.

463
views
Textbook Question

Identifying a Test In Exercises 21–24, determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed.


Ha: μ ≥ 5.2

H0: μ < 5.2

59
views
Textbook Question

In Exercises 29–34, find the critical value(s) and rejection region(s) for the type of t-test with level of significance α and sample size n.


Right-tailed test, α=0.02, n=63


79
views
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.


Working Students An education researcher claims that 65% of full-time college students work year-round. In a random sample of 105 college students, 66 say they work year-round. At α=0.10, is there enough evidence to reject the researcher’s claim?

130
views
Textbook Question

Hypothesis Testing Using a P-Value In Exercises 33–38,

         

a. identify the claim and state and .

b. find the standardized test statistic z.

c. find the corresponding P-value.

d. decide whether to reject or fail to reject the null hypothesis.

e. interpret the decision in the context of the original claim.


Sprinkler Systems A manufacturer of sprinkler systems designed for fire protection claims that the average activating temperature is at least 135°F. To test this claim, you randomly select a sample of 32 systems and find the mean activation temperature to be 133°F. Assume the population standard deviation is 3.3°F. At alpha=0.10, do you have enough evidence to reject the manufacturer’s claim?

91
views
Textbook Question

Faculty Classroom Hours The dean of a university estimates that the mean number of classroom hours per week for full-time faculty is 11.0. As a member of the student council, you want to test this claim. A random sample of the number of classroom hours for eight full-time faculty for one week is shown in the table at the left. At α=0.01, can you reject the dean’s claim?


79
views