Statistics and Probability
Theory
MTH 262
1
Scheme of Course
A course will be consist of 32 lectures.
Total marks of the course is 100, which will be divide in assignments, quizzes, sessionals and terminal paper.
Distribution of marks is given in the table.
Assessment
marks
Assignments(min 4)
10
Quizzes(min 4)
15
Sessionals (2)
Terminal Paper
10+15
50
2
Learning Outcome
After successful completion of this course, a student should be able to define Statistics
classify and represent the data. Calculate and interpret measure of central tendency and
measure of dispersion. Define and calculate probabilities, work with random variables
and various probability distributions. Apply various statistical techniques like regression
analyses, correlation etc
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Statistics
Statistics is the discipline that concerns the collection,
organization,
analysis,
interpretation
and
presentation
of
numerical data.
5
Branches of Statistics
• Descriptive Statistics:
As the name suggests, descriptive statistics involves description of data using
typical values.
It is often divided into three; Measures of frequency, measures of central
tendency and measures of dispersion.
Transform data into information.
6
Branches of Statistics
• Inferential Statistics:
Inferential statistics is the most critical branch of Statistics that mainly uses
sample data drawn from a given population.
This sample data is used to describe and make inferences about the population.
Transform information into knowledge.
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