Unit 2: Measures of Central Tendency 

Week 5: (04 September to 10 September 2023)

Lecture 1. Concept of Central Tendency, Requirements of a good average.

Here, we will learn the concept of central tendency, requirements of a good measure of central tendency (or average) and various types of averages. 

Lecture 2. Arithmetic Mean : Definition and Properties

Here, we will learn the definition of arithmetic mean (A.M.), merits and demerits of A.M. and properties of A.M. 

Lecture 3. Illustrative Examples.

Here, we will learn how to compute arithmetic mean in case of individual data, discrete data and continuous data through some illustrative examples.

Lecture 4. Weighted Arithmetic Mean.

Here, we will learn the concept of weighted arithmetic mean and its computation through example. 

Week 6: (11 September to 17 September 2023)

Lecture 1. Median.

Here, we will learn the definition of median, merits and demerits of median and Computational Procedure to obtain Median. 

Lecture 2. Median : Illustrative Examples.

Here, we will learn how to compute median in case of individual data, discrete data and continuous data through some illustrative examples. 

Lecture 3. Partition Values.

Here, we will learn the concept of partition values i.e. quartiles, deciles and percentiles. 

Lecture 4. Partition Values : Illustrative Examples.

Here, we will learn how to compute quartiles and deciles in case of individual data, discrete data and continuous data through some illustrative examples. 

Week 7: (18 September to 24 September 2023)

Lecture 1. Mode.

Here, we will learn the concept of typical average i.e. mode. Also, some numerical examples are illustrated to obtain mode in case of individual data, discrete data and continuous data. 

Lecture 2. Empirical Relation between Mean, Median and Mode.

Here, we will state the empirical relation between mean, median and mode and some examples are illustrated.

Lecture 3. Examples on Combined Mean.

Here, we will illustrate some numerical examples related to combined mean. 

Lecture 4. Other Examples.

Here, we will illustrate other type of examples.