Course Perspective:
This course provides an introduction to the basic principles and methods of statistical estimation, model fitting and hypothesis testing.
Learning Strategies:
Lectured activity; Solving Assignments; Term presentations, Quizes .Class tests, Learning from industry experience through guest lecturers.
Tentative Teaching Schedule
Course Schedule  
Week  Module  Intended Learning Outcomes  
At the end of this week, the students will be able to explain:  
1  PROBABILITYI:INTRODUCTORY IDEAS
(Statistics for Management) (Chap#4)
PROBABILITY (Introduction to Statistical Theory PartI) (Chap# 6) 
· Learn the basic concepts and terminologies of probability and vital role of probability in the field of business.
· Random Experiment, Random Variables. · Discrete and continuous random variables · Introduction to Probability and Basic terminologies, Sets · student solve many problems encounter in their major field of study.


2  PROBABILITYI: INTRODUCTORY IDEAS
(Statistics for Management) (Chap#4)
PROBABILITY (Introduction to Statistical Theory PartI) (Chap# 6) 
· Axioms of Probability, Rules of counting.
· Basic laws o probability with proofs. · Addition and Multiplication Laws of probability and their application in different field of life, especially in business education.
(ASSIGNMENT+QUIZES)


3  PROBABILITY DISTRIBUTIONS
(Statistics for Management) (Chap#5)
RANDOM VARIABLES (Introduction to statistical theory partI) (Chap#7) 
· Conditional Probability, discrete and continuous random variables
· Mathematical expectation and its properties. · Marginal and Conditional distributions. · Prerequisite about the advanced probability. · Learn how to calculate the mean, variance and other statistical tool of the distribution by using the expectations. 

4  PROBABILITY DISTRIBUTIONS
(Statistics for Management) (Chap#5)
DISCRETE PROBABILITY DISTRIBUTIONS (Introduction to statistical theory PartI) (Chap#8) 
· Introduction to Discrete Probability distributions.
· Binomial distributions and its applications in different field of life, especially in business education. · Fitting of the Binomial distribution. · Learn how to calculate the probability of the events dealing with binomial distribution. (ASSIGNNMENT+ QUIZES) 

5  PROBABILITY DISTRIBUTIONS
(Statistics for Management) (Chap#5)
DISCRETE PROBABILITY DISTRIBUTIONS (Introduction to statistical theory PartI) (Chap#8) 
· Introduction to Poison distribution
· Poison distribution and its application in different field of life, especially in business education. · Fitting of the Poison distribution. · Learn how to calculate the probability of the events dealing with Poison distribution. 

6  PROBABILITY DISTRIBUTIONS
(Statistics for Management) (Chap#5)
CONTINUOUS PROBABILITY DISTRIBUTIONS (Introduction to statistical theory PartI) (Chap#9) 
· Introduction to continuous distributions, especially, about Normal distribution
· Normal distribution and its application in different field of life, especially in business education. · Fitting of the normal distribution. · Learn how to calculate the probability of the events dealing with Normal distribution. (ASSIGNMENT+QUIZES) 

7  SAMPLING AND SAMPLING DISTRIBUTIONS
(Statistics for Management) (Chap #6)
SURVEY SAMPLING AND SAMPLING DISTRIBUTIONS. (Introduction to statistical theory PartII) (Chap # 14) 
· Basic concepts, terminology and types of Sampling Theory, Sampling and nonsampling Errors.
· Sampling Distribution of Sample means (with Replacement) · Sampling Distribution of Sample means ( without Replacement) · Learn how to construct the sampling distribution of a statistic (sample mean, sample proportion, difference between two means etc.)


8  SAMPLING AND SAMPLING DISTRIBUTIONS
(Statistics for Management) (Chap #6)
SURVEY SAMPLING AND SAMPLING DISTRIBUTIONS. (Introduction to statistical theory PartII) (Chap # 14) 
· Sampling distribution of Sample Proportions (with Replacement)
· Sampling distribution of Sample Proportions (without Replacement) · Sampling distribution of difference between two means (with & without Replacement) (ASSIGNMENT+QUIZES) 

Midsemester Examination


9  TESTING OF HYPOTHESES : ONE SAMPLE TESTS
(Statistics for Management) (Chap #8)
STATISTICAL INFERENCE: HYPOTHESIS TESTING (Introduction to statistical theory PartII) (Chap # 16)

· Introduction and Basic Concepts of Statistical Inference.
· Null and Alternative hypothesis, Significance level, Test Statistics. · Acceptance and Rejection Regions, Pvalue, Directional and Non directional test. · Learn how to the test the hypothesis about a population parameters under some uncertainty. 

10  TESTING OF HYPOTHESES : ONE SAMPLE TESTS & TWO SAMPLE TESTS
(Statistics for Management) (Chap #7, 8 & 9)
STATISTICAL INFERENCE: HYPOTHESIS TESTING (Introduction to statistical theory PartII) (Chap # 15 & 16) 
· Testing of Hypothesis and interval estimation concerning population mean.(For large sample)
· Testing of Hypothesis and interval estimation concerning population mean.(For small sample) · Testing of hypothesis and C.I about difference between two means. (for large sample) · Learn how to the test the hypothesis about a population parameters under some uncertainty. (ASSIGNMENT+QUIZES)


11  TESTING OF HYPOTHESES : ONE SAMPLE TESTS & TWO SAMPLE TESTS
(Statistics for Management) (Chap # 7, 8 & 9)
STATISTICAL INFERENCE: HYPOTHESIS TESTING (Introduction to statistical theory PartII) (Chap #15 & 16)

· Testing of hypothesis and C.I about difference between two means. (for small sample)
· Testing of Hypothesis and C.I for population proportion. · Testing of Hypothesis and C.I for difference between two population proportions. · Learn how to the test the hypothesis about a population parameters under some uncertainty. (ASSIGNMENT+QUIZES) 

12  SIMPLE REGRESSION AND CORRELATION
(Statistics for Management) (Chap #12)
SIMPLE REGRESSION AND CORRELATION (Introduction to statistical theory PartI) (Chap # 10)

· Functional relationship among Variables, Exact and Statistical relations among variables, Scatter Diagram.
· Estimation and Interpretation of regression coefficients in simple linear regression. · Properties of SLR line, Prediction in SLR, Coefficient of Determination. · Capable to predict the values by using these regression models. 

13  SIMPLE REGRESSION AND CORRELATION
(Statistics for Management) (Chap #12) STATISTICAL INFERENCE IN REGRESSION AND CORRELATION (Introduction to statistical theory PartII) (Chap # 21) 
· Testing of hypothesis about regression Coefficients.
· Testing of Hypothesis about regression coefficients. · Introduction to Polynomial Regression. · Learn how to test the regression coefficients and their interpretation in their major field of study. (ASSIGNMENT+QUIZES) 

14  MULTIPLE REGRESSION AND MODELING
(Statistics for Management) (Chap #13)
MULTIPLE REGRESSION AND CORRELATION (Introduction to statistical theory PartI) (Chap # 11) 
· Multiple Linear regression, Estimation and interpretation of regression coefficients in MLR.
· Prediction in MLR, Coefficient of Determination and its interpretation in MLR. · Learn how to test the regression coefficients and their interpretation in their major field of study. (ASSIGNMENT+QUIZES) 

15  SIMPLE REGRESSION AND CORRELATION
(Statistics for Management) (Chap #12)
SIMPLE REGRESSION AND CORRELATION (Introduction to statistical theory PartI & II) (Chap # 10 & 21)

· Introduction to Correlation.
· Calculation and interpretation of Simple Linear Correlation. · Testing of hypothesis about population correlation coefficients · Calculation and interpretation of Partial Correlation. · Calculation and interpretation of multiple correlations. (ASSIGNMENT+QUIZES) 

16  CHISQUARE AND ANALYSIS OF VARIANCE
(Statistics for Management) (Chap #11) THE CHISQUARE DISTRIBUTION AND STATISTICAL INFERENCE. THE ANALYSIS OF VARIANCE. (Introduction to statistical theory PartII) (Chap # 17 & 20) 
· Introduction to Analysis of Variances.
· One way & two ways ANOVA. · Introduction to Contingency Table. · Testing of Hypothesis about independence in contingency table (Association in Attributes). (ASSIGNMETN+QUIZES) 

Endsemester examination 
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