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Basic Question 1 of 2
The calculated F statistic of a two-tailed test is less than the test statistic. What conclusion will the researcher draw from this result?
B. The data does not provide sufficient evidence that there is a difference in the population variances.
C. The researcher is unable to draw any conclusions about the data from this test.
A. The data provides sufficient evidence that there is a difference in the population variances with 90% confidence.
B. The data does not provide sufficient evidence that there is a difference in the population variances.
C. The researcher is unable to draw any conclusions about the data from this test.
User Contributed Comments 5
| User | Comment |
|---|---|
| robkaz | That is true for a 2-tailed test but not necessarily true for a 1-tailed test. |
| surob | I think it doesn't matter whether it is one tailed or 2 tailed. What matters here is that calculated F statistic is less than test statistic. |
| tom1980 | how about the null hypothesis you make ? |
| TheHTrader | Is the calculated F statistic = critical value (by looking up the table of f-distribution? I am a little confused here. |
| jpducros | For a F-Statistic, there is only a one-tail test possible, the right tail. |
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Learning Outcome Statements
construct hypothesis tests and determine their statistical significance, the associated Type I and Type II errors, and power of the test given a significance level
CFA® 2025 Level I Curriculum, Volume 1, Module 8.