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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. |
I am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work!
Barnes
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.