
Explanation:
The Jarque-Bera (JB) test is used to test whether a dataset follows a normal distribution. The test statistic follows a chi-squared distribution with 2 degrees of freedom.
Given:
Analysis of each dataset:
Conclusion: Datasets B and D have JB statistics exceeding the critical value of 5.99, indicating they are likely not drawn from a normal distribution.
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| Dataset | Skew | Kurtosis | T | JB |
|---|---|---|---|---|
| A | 0.85 | 3.00 | 50 | 5.90 |
| B | 0.85 | 3.00 | 51 | 6.02 |
| C | 0.35 | 3.35 | 125 | 3.16 |
| D | 0.35 | 3.35 | 250 | 6.35 |
Which of these datasets are likely (at the 95% confidence level, the chi-squared critical value is 5.99) to not be drawn from a normal distribution?
A
Dataset A and C
B
Dataset B and C
C
Dataset A and D
D
Dataset B and D
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