CFA Level I · CFA Level I Exam · Estimation and Hypothesis Testing
A portfolio manager claims the standard deviation of a fund's annual returns is 10%. A sample of 25 annual returns, drawn from a normal population, has a sample standard deviation of 13%. The chi-square test statistic for testing the null hypothesis that the population variance equals 0.01 is closest to:
The statistic is about 40.6. It equals (n minus 1) times the sample variance divided by the hypothesized variance: 24 times 0.0169 divided by 0.01 equals 40.56, with 24 degrees of freedom.
- A30.5
- B40.6Correct
- C42.3
Explanation
Chi-square = (n-1)s²/σ0² = 24 × 0.0169 / 0.01 = 40.56, about 40.6. Using standard deviations without squaring (24×13/10 = 31.2) gives a wrong value, and using n instead of n-1 gives 42.25.
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