BBA Business Statistics MCQs - Chapter 9
Skewness, Kurtosis and Moments Multiple Choice Questions (MCQ) PDF - 10
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Skewness, Kurtosis & Moments Questions & Answers PDF Download: MCQ Quiz 10
MCQ 46: The percentile and moment system are two groups of
- skewness measures
- central tendencies measures
- quartile measures
- percentile measures
MCQ 47: In kurtosis, the frequency curve which is also classified as normal curve is called
- mega curve
- mesokurtic
- leptokurtic
- platykurtic
MCQ 48: As compared to measures of variation, the measure of skewness is used to understand concentration of
- values around mean
- upper tail only
- lower tail only
- median coefficients
MCQ 49: In moments, the alphas whose values depends on shape of frequency curve are
- alpha one and two
- alpha one and two
- alpha three and four
- alpha one and four
MCQ 50: The coefficient of skewness by Karl Pearson, Professor Kelly and professor Bowley are considered as
- relative measure of skewness
- absolute measure of skewness
- concentrated measure of skewness
- directed measure of skewness
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Financial Management MCQ with Answers
- An unsystematic risk which can be eliminated but the market risk is the
- Mutual fund allows investors to sale out their share during any normal
- A risk associated with the project and the way considered by well
- Long period of bond maturity leads to
- An indication in a way that variance of y-variable is explained by
- An uncovered cost at start of year is $200, full cash flow
Skewness, Kurtosis & Moments MCQ Book Questions
- In kurtosis, the frequency curve that has flatten top than normal curve
- Measures whose calculated values represents only some proportion of frequency distribution are classified as
- Considering the alpha and beta in moments, the measure of asymmetrical distribution is possible with
- Degree or extent to which the frequency of the observations in data
- As compared to measures of variation, the measure of skewness is used to understand concentration of
- If all the values move towards one tail of a distribution then this scenario results in