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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: 9780137493470Non è quello che usi tu?Cambia libro di testo
Capitolo 7, Problema 7.1.16

Stating Hypotheses In Exercises 11–16, the statement represents a claim. Write its complement and state which is H0 and which is Ha.


p = 0.21

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Identify the claim in the problem. The claim is that the population proportion is equal to 0.21, which can be written as p = 0.21.
Write the complement of the claim. The complement of 'p = 0.21' is 'p ≠ 0.21', as the complement represents all values not equal to 0.21.
Determine which statement is the null hypothesis (H₀). The null hypothesis always includes equality, so H₀: p = 0.21.
Determine which statement is the alternative hypothesis (Hₐ). The alternative hypothesis is the complement of the null hypothesis, so Hₐ: p ≠ 0.21.
Summarize the hypotheses: H₀: p = 0.21 (the claim) and Hₐ: p ≠ 0.21 (the complement).

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Hypothesis Testing

Hypothesis testing is a statistical method used to make decisions about a population based on sample data. It involves formulating two competing hypotheses: the null hypothesis (H0), which represents a statement of no effect or no difference, and the alternative hypothesis (Ha), which represents the claim being tested. The goal is to determine whether there is enough evidence to reject H0 in favor of Ha.
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Step 1: Write Hypotheses

Null and Alternative Hypotheses

The null hypothesis (H0) is a statement that indicates no change or no effect, serving as a default position that there is no relationship between variables. The alternative hypothesis (Ha) is the statement that reflects the claim or effect that the researcher aims to support. In the context of the given question, H0 would state that the population proportion p is equal to 0.21, while Ha would state that p is not equal to 0.21.
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Step 1: Write Hypotheses

Complement of a Hypothesis

The complement of a hypothesis refers to the opposite of the original statement. In hypothesis testing, if the null hypothesis states a specific value (e.g., p = 0.21), the complement would encompass all other possibilities (e.g., p ≠ 0.21). Understanding the complement is crucial for correctly formulating the alternative hypothesis and interpreting the results of the hypothesis test.
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