CAIIB · ABM · Chapter 3

Measures of Central Tendency & Dispersion, Skewness, Kurtosis

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Q

What is central tendency and how is it measured?

A

Central tendency is the tendency of data to cluster around a central or mid value. It is measured by averages.

Q

What are the six requisites of a good measure of central tendency?

A

Rigidly defined, simple to understand, based on all observations, capable of algebraic treatment, least affected by sampling fluctuations, and not unduly affected by extreme values.

Q

Which type of average is best suited for calculating CAGR and index numbers?

A

Geometric Mean (GM) is best suited for growth rates, ratios, index numbers, and CAGR.

Q

Which measure of central tendency fails the requisite of 'based on all observations' but best resists outliers?

A

Median.

Q

What formula is used to calculate the Arithmetic Mean for ungrouped data?

A

AM = Sum(x) / n, where x represents each observation and n is the total number of observations.

Q

Which measure of central tendency is most heavily affected by extreme values?

A

Arithmetic Mean.

Q

How is the combined Arithmetic Mean of two groups calculated?

A

Combined AM = (n1 * mean1 + n2 * mean2) / (n1 + n2), using the sizes and means of both groups.

Q

What are the three main types of Mathematical Averages?

A

Arithmetic Mean (AM), Geometric Mean (GM), and Harmonic Mean (HM).

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