Writing You are testing a claim and incorrectly use the standard normal sampling distribution instead of the t-sampling distribution, mistaking the sample standard deviation for the population standard deviation. Does this make it more or less likely to reject the null hypothesis? Is this result the same no matter whether the test is left-tailed, right-tailed, or two-tailed? Explain your reasoning.
Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 53m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample2h 19m
- 10. Hypothesis Testing for Two Samples3h 22m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
9. Hypothesis Testing for One Sample
Steps in Hypothesis Testing
Problem 8.Ch6-9.9
Textbook Question
In Exercises 7–10, the statement represents a claim. Write its complement and state which is Ho and which is Ha.
σ=0.63

1
Understand the problem: The given statement is a claim about the population standard deviation (σ). The claim is that σ = 0.63. We need to write the complement of this claim and identify which statement is the null hypothesis (Ho) and which is the alternative hypothesis (Ha).
Recall the definitions: The null hypothesis (Ho) is a statement of no change, no effect, or equality. It is the hypothesis that we assume to be true unless there is strong evidence against it. The alternative hypothesis (Ha) is the statement that contradicts the null hypothesis and represents the claim we are testing.
Write the null hypothesis (Ho): Since the claim is that σ = 0.63, the null hypothesis will be Ho: σ = 0.63. This represents the assumption that the population standard deviation is equal to 0.63.
Write the alternative hypothesis (Ha): The complement of the claim is that σ ≠ 0.63. This represents the possibility that the population standard deviation is not equal to 0.63. Therefore, the alternative hypothesis is Ha: σ ≠ 0.63.
Summarize the hypotheses: The null hypothesis (Ho) is σ = 0.63, and the alternative hypothesis (Ha) is σ ≠ 0.63. These hypotheses will be used in hypothesis testing to determine whether there is sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Null Hypothesis (Ho)
The null hypothesis, denoted as Ho, is a statement that indicates no effect or no difference in a statistical test. It serves as the default assumption that any observed effect is due to sampling variability. In this case, Ho would assert that the population standard deviation σ is equal to 0.63.
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Step 1: Write Hypotheses Example 1
Alternative Hypothesis (Ha)
The alternative hypothesis, represented as Ha, is a statement that contradicts the null hypothesis. It suggests that there is an effect or a difference. For the given claim, Ha would state that the population standard deviation σ is not equal to 0.63, indicating a deviation from the null hypothesis.
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Complement of a Hypothesis
The complement of a hypothesis refers to the opposite statement of the original claim. In hypothesis testing, if Ho states that σ equals a specific value, the complement would assert that σ does not equal that value. This is crucial for determining the scope of the test and understanding the relationship between Ho and Ha.
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