Professional Masters in Applied Statistics and Data Science
(ASDS)
Department of Statistics
Jahangirnagar University, Savar, Dhaka-1342
Website: http://www.juniv.edu/department/statistics; Email: stat@juniv.edu
COURSE OUTLINE
Course Code
Course Title
Semester
Course Teacher
Contact
WM-ASDS03
Statistical Inference
Fall 2022
Dr. Tapati Basak, Associate Professor
Mobile: 01915-967400
Email: tapati.basak@juniv.edu
Objective:
1. To provide estimates of unknown parameters from sample statistics.
2. To gain insight regarding the population parameters from the observed data.
Learning Outcomes: After the successful completion of the course, the students will be able to,

learn the method for obtaining insight regarding the population parameters with the application of
formal computations to the data, where the interpretation of the outcome of these formal computations
is carried out in the probabilistic context, which can be applied to all potential data sets.
Texts:
1. Hogg, R. H., Mckean, J. and Craig, A. T. (2014): Introduction to Mathematical Statistics, 7th
Edition, Pearson Education Ltd.
2. Mood, A. M., Graybill, F. A. and Bose, D. C. (1974): Introduction to the Theory of Statistics, 3rd
Edition, Mcgraw-Hill, New York.
Course Assessment
For the purposes assessment, 100 marks will be assigned to each 3-credit hours course. The marks distribution
is illustrated in the following table. The course teacher will be responsible to evaluate the students taken his/her
course.
Description
Class Attendance
Class Performance
Quiz and Class Tests
Assignments
Mid-term Examination
Final Examination
Marks (%)
5
5
10
10
30
40
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Professional Masters in Applied Statistics and Data Science
(ASDS)
Department of Statistics
Jahangirnagar University, Savar, Dhaka-1342
Website: http://www.juniv.edu/department/statistics; Email: stat@juniv.edu
Course Outline
Month
Week
Lecture
Topics
Remarks
Basics of estimation
Dec. 30 2022 – Jan. 05
2023
1
1
Point Estimation
Properties of Good Estimators
Method of Finding point estimates
Solving Practical problems with R
Interval Estimation (1)
Jan. 06 – Jan. 12, 2023
2
2
Basics of Interval Estimation
Confidence Interval for Mean
Solving Practical problems with R
Interval Estimation (2)
Jan. 13 – Jan. 19, 2023
3
3
Confidence Interval for proportion, variance
Solving Practical problems with R
Test of Hypothesis (1)
Fundamentals of Hypothesis Testing
Jan. 20 – Jan. 26, 2023
4
4
Purpose of hypothesis testing, Research and
Statistical hypothesis, Setting appropriate
hypothesis in practical situations, Concepts of
Test of Significance in Small and Large Samples,
Type of errors, Level of Significance, p-Vale,
Power of the Test etc.
Practical example to demonstrate the above
terminologies.
Test of Hypothesis (2)
Jan. 27 – Feb. 02, 2023
5
5
Testing for a single mean
Comparing two means
Solving Practical problems with R
Test of Hypothesis (3)
Feb. 03 – Feb. 09, 2023
6
6
Testing for population proportion(s)
Solving Practical problems with R
Feb. 10 – Feb. 16, 2023
Test of Hypothesis (4)
7
7
Testing for population variance(s)
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Professional Masters in Applied Statistics and Data Science
(ASDS)
Department of Statistics
Jahangirnagar University, Savar, Dhaka-1342
Website: http://www.juniv.edu/department/statistics; Email: stat@juniv.edu
Solving Practical problems with R
Test of Hypothesis (5)
Feb. 17 – Feb. 23, 2023
8
8
Basic concepts of 𝜒 2 -distribution
Tests of Goodness-of-fit
Solving Practical problems with R
Test of Hypothesis (6)
Feb. 24 – Mar. 02, 2023
9
9
Concepts of classification with the contingency
tables
Tests of independence
Solving Practical problems with R
Test of Hypothesis (7)
Mar. 03 – Mar. 09, 2023
10
10
Tests of homogeneity
Solving Practical problems with R
Test of Hypothesis (8)
Mar. 10 – Mar. 16, 2023
11
11
Fisher’s Exact Test
Solving Practical problems with R
Test of Hypothesis (9)
Mar. 24 – Mar. 30, 2023
12
12
Tests for the observational study and it’s
comparative analysis with ANOVA
Solving Practical problems with R
Note: Please be informed that the classes may be rescheduled according to the public and university
holidays.
All the very best!
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