Questions: What does the .05 level of significance mean? That the relationship between X 1 and Y is significantly (.05) strong. That we will reject the Null (HO) Hypothesis That the results are generalizable All the above are correct Only A B (the first two answers) are correct

What does the .05 level of significance mean? That the relationship between X 1 and Y is significantly (.05) strong. That we will reject the Null (HO) Hypothesis That the results are generalizable All the above are correct Only A  B (the first two answers) are correct
Transcript text: What does the .05 level of significance mean? That the relationship between $X 1$ and $Y$ is significantly (.05) strong. That we will reject the Null $(\mathrm{HO})$ Hypothesis That the results are generalizable All the above are correct Only A & B (the first two answers) are correct
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Solution

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The answer is B: That we will reject the Null (HO) Hypothesis.

Explanation for each option:

  1. That the relationship between $X_1$ and $Y$ is significantly (.05) strong.

    • This statement is incorrect. The .05 level of significance does not indicate the strength of the relationship between variables. Instead, it refers to the probability threshold for rejecting the null hypothesis.
  2. That we will reject the Null (HO) Hypothesis.

    • This statement is correct. The .05 level of significance means that there is a 5% chance of rejecting the null hypothesis when it is actually true (Type I error). If the p-value is less than or equal to .05, we reject the null hypothesis.
  3. That the results are generalizable.

    • This statement is incorrect. The level of significance does not directly address the generalizability of the results. Generalizability depends on the study design, sample size, and other factors.
  4. All the above are correct.

    • This statement is incorrect because not all the individual statements are correct.
  5. Only A & B (the first two answers) are correct.

    • This statement is incorrect because the first answer (A) is not correct.

Therefore, the correct answer is B: That we will reject the Null (HO) Hypothesis.

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