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Which of the following represents the appropriate null & alternative hypotheses? The mean height of women is greater than 64"
Emilio
Mejia
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Searc
Playing a Ga…
Paraphrasin…
This Is Just…
William Carl…
Edpuzzle
iowa housin…
Home | Hous… and alte…
2/22
Mejia
Ask by Peterson Morgan. in Puerto Rico
Mar 13,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
The correct hypotheses are:
- Null Hypothesis (H₀): The mean height of women is less than or equal to 64 inches (
) - Alternative Hypothesis (Hₐ): The mean height of women is greater than 64 inches (
)
Solution
To determine the appropriate null and alternative hypotheses based on the statement “The mean height of women is greater than 64 inches,” we need to define the hypotheses clearly.
-
Null Hypothesis (H₀): This is a statement of no effect or no difference. In this case, it would state that the mean height of women is less than or equal to 64 inches.
-
Alternative Hypothesis (Hₐ): This is what we want to prove. In this case, it states that the mean height of women is greater than 64 inches.
Based on this understanding, we can formulate the hypotheses as follows:
- Null Hypothesis (H₀):
- Alternative Hypothesis (Hₐ):
Now, let’s analyze the options provided:
-
and - This is correct. -
- Incorrect, as it uses instead of . -
- Incorrect, as it uses instead of . -
- Incorrect, as it does not reflect the “less than or equal to” condition. -
- Incorrect, as it uses instead of . -
- Incorrect, as it does not reflect the “greater than” condition.
Thus, the correct representation of the null and alternative hypotheses is:
Answered by UpStudy AI and reviewed by a Professional Tutor
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Bonus Knowledge
When formulating hypotheses, it’s essential to understand that the null hypothesis (H₀) typically represents a statement of no effect or no difference. In this case, you want to assert that the mean height of women exceeds 64 inches, so the null hypothesis should state that the mean is less than or equal to 64 inches (H₀: μ ≤ 64"). The alternative hypothesis (Hₐ: μ > 64") reflects the claim you’re testing. It’s a bit like setting up a debate where H₀ is the status quo, and you’re trying to poke holes in it!
Remember, a common mistake is to confuse the roles of the null and alternative hypotheses. H₀ shouldn’t reflect what you believe to be true; instead, it’s a baseline that represents the opposite of your claim. A tip for developing your hypotheses is to clearly define what you are testing before writing them down. A well-structured hypothesis not only clarifies your research question but also sets a solid foundation for your analysis.