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CFA Level I Quantitative Methods Practice Questions and answers. updated

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Ace CFA Level I Quantitative Methods! Practice with updated questions and detailed answers covering probability, statistics, time value of money, and more. Build a strong foundation, master essential calculations, and boost your confidence for exam success. Your quantitative edge starts here – conquer the numbers

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Uploaded on
April 10, 2025
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CFA Level I - Quantitative Methods Practice
Questions

Mastering CFA Quantitative Methods Essential
Questions to Build Your Professional Reputation

1. What type of data is best represented by bar charts or pie charts? Answer:

Categorical (nominal or ordinal) data.


2. What is the difference between a parameter and a statistic? Answer: A

parameter describes a characteristic of a population, while a statistic describes a

characteristic of a sample.


3. Calculate the arithmetic mean of the following dataset: 7, 12, 9, 15, 11.

Answer: (7 + 12 + 9 + 15 + 11) / 5 = = 10.8


4. What is the median of the following dataset: 3, 8, 5, 10, 2, 9, 6? Answer: First,

order the data: 2, 3, 5, 6, 8, 9, 10. The median is the middle value, which is 6.


5. Define mode in a dataset. Answer: The mode is the value that appears most

frequently in a dataset.

, 6. Which measure of central tendency is most affected by outliers? Answer: The

arithmetic mean.


7. Calculate the range of the following dataset: 25, 15, 30, 20, 40. Answer: Range

= Maximum value - Minimum value = 40 - 15 = 25.


8. What is the formula for population variance? Answer: σ2=N∑i=1N(Xi−μ)2,

where N is the population size, Xi are the individual observations, and μ is the

population mean.


9. What is the formula for sample standard deviation? Answer: s=n−1∑i=1n(Xi

−Xˉ)2, where n is the sample size, Xi are the individual observations, and Xˉ is the

sample mean.


10. Explain the concept of Chebyshev's inequality. Answer: Chebyshev's

inequality states that for any distribution, regardless of its shape, at least 1−(1/k2)

of the observations will lie within k standard deviations of the mean (for k>1).


11. What are the key characteristics of a normal distribution? Answer: Bell-

shaped, symmetrical around the mean, mean = median = mode, and its spread is

defined by the standard deviation.


12. Approximately what percentage of observations fall within one standard

deviation of the mean in a normal distribution? Answer: Approximately 68%.

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