Important questions with answers for measures of central tendency are drafted by expert commerce teachers from the latest version of CBSE (NCERT) books.

Important Questions: Measures of Central Tendency

Question 1

Define median.

Answer:

Median is a value located in the centre of a series in such a way that half of the values of the series are above it and the other half are below it.

Question 2

What is mode?

Answer:

Mode is a value that frequently occurs in a series, which means that the modal value has the highest frequency in the series.

Question 3

Define the partition value.

Answer:

The value that divides the series into more than two parts is known as the partition value.

Question 4

Explain quartile.

Answer:

The end value of the statistical series when it is divided into four parts is known as quartile.

Question 5

What is positional average?

Answer:

Positional average is an average whose value is worked out on the basis of its position in the statistical series.

Question 6

Define the central tendency.

Answer:

A method of statistical analysis by which the average of a statistical series is analysed is known as the central tendency.

Question 7

What are the purposes of average in the statistical method?

Answer:

The purposes of average is the statistical method are:

•       Brief description
•       Comparison
•       Formulation of policies
•       Statistical analysis
•       One value of all

Question 8

What are the different kinds of statistical average?

Answer:

The different kinds of statistical average are:

•       Mathematical average
•       Positional average

Question 9

What are the two methods that can calculate the simple arithmetic mean in case of an individual series?

Answer:

The two methods that can calculate the simple arithmetic mean in case of an individual series are:

•       Direct method
•       Shortcut method

Question 10

What are the methods of calculating the simple arithmetic mean?

Answer:

The methods of calculating the simple arithmetic mean are:

•       Individual series
•       Discrete series
•       Frequency distribution

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