### Skewness and Kurtosis

Skewness and Kurtosis- Introduction- Skewness and Kurtosis are very important concepts in statistics and have several applications. In addition, they characterize the nature of data distribution which make data analysis easier. Moreover, I will separately…

### Measures of Central Tendency : Mean, Median and Mode

Measures of central tendency in statistics refers to a value which characterizes all the the data. Mean, median and mode are very important measures of central tendency. Measures of central tendency is very fundamental in…

### Frequency Distribution in Statistics

Frequency distribution in statistics refers to a graph or table which depicts or illustrate the occurrences of values. Frequency distribution is very important in study of statistics, machine learning and data science area. To understand…

### UGC-NET Computer Science and Applications Syllabus

UNIVERSITY GRANTS COMMISSION NET BUREAU NET SYLLABUS Subject : COMPUTER SCIENCE AND APPLICATIONS Code No.:(87) Unit – 1 : Discrete Structures and Optimization Mathematical Logic: Propositional and Predicate Logic, Propositional Equivalences, Normal Forms, Predicates and…

### CSIR-NET Syllabus for Mathematical Sciences

CSIR-UGC National Eligibility Test (NET) for Junior Research Fellowship and Lecturer-ship COMMON SYLLABUS FOR PART ‘B’ AND ‘C’ MATHEMATICAL SCIENCES UNIT – 1 Analysis: Elementary set theory, finite, countable and uncountable sets, Real number system…

### Vector Spaces and Linear Transformation

Vector Space- A set V is called vector space on which two operations are defined. 1- Vector Addition 2- Scalar Multiplication Further, vector addition must follow the following properties and laws for vector addition. 1-…

### Random variables and Probability Distribution Functions

To understand random variable first you have to know about events. I will make you understand using examples. What are events? Example Tossing three coins on which one head turns up {HT,HH} A random variable…

### Mutually Exclusive and Independent Events

Mutually Exclusive Events- Two or more events events are said to be mutually exclusive if only one can happen at a time. Example-1 In tossing a coin, event of tail up (T) and even of…

### Linear Dependence and Independence of Vectors

Linear Independence of Vectors Suppose α1, α2, α3, α4…………αn are vectors of V(F) where F is field. And there exist scalers a1, a2, a3, a4………..an which belong to field F. α1, α2, α3, α4…………αn vectors…