Class History: Statistics for Business (Fall 2018, MBA)

Total classes: 9 (8 regular classes and 1 extra classes).

Class 1

September 28, Room 603, Time 8:20 - 10:05 

An overview of the whole course. Data vs. information. Types of variables. Types of statistics.

Class 2

October 5, Room 603, Time 8:45 - 10:30 

Brief review of the previous class. Discrete and continuous variables. Qualitative and quantitative data. Levels of measurement. Population vs. sample. 

Announcement: Quiz on the next class on chapter-1.

Class 3

October 12, Room 603, Time 8:30 - 10:30 

Various ways of measuring central tendency. The summation sign. Population mean. Sample mean. Properties of mean. Cons of mean. Median. Cons of median. Mode.

Class 4 (Extra)

October 12, Room 602, Time 10:30 - 11:00 

MCQ quiz on Chapter-1. 

Suggestion for the midterm exam.

Midterm Exam

October 26, Time 9:00 - 10:30

Room: 602

Class 5

November 9, Room 603, Time 9:00 - 10:45 

Importance of measuring dispersion. Various approaches of measuring dispersion. Range: calculation, pros, and cons. Population and sample variance. Variance, standard deviation, and skewness calculation (data: temperature of Dhaka city of 6 months). Interpretation using the empirical rule. Empirical rule and skewness.

Class 6

November 16, Room 603, Time 9:10 - 10:45 

Skewness and distribution of a dataset. The meaning of normally distributed data. Meaning of zero, positively, and negatively skewed data (with examples).

Various approaches of data presentation. Frequency distribution (math).

Class 7

November 23, Room 603

Time 8:35 - 10:40 

Math and theory: Relative frequency distribution, histogram, frequency polygon, pie chart of the salary of 20 employees (data were given). 

2nd class test: Construct a histogram and frequency polygon on the graph paper, based on the frequency distribution demonstrated in the class.

Class 8

November 30, Room 603

Time 8:30 - 10:40 

The concept of correlation. Positive, negative, and zero correlation. Various graphs illustrating different correlations. Type of correlation. The choice between Pearson and Spearman’s correlation: flowchart. Math: Spearman’s correlation between Grade (x) and Weekly study hours (y). 

Announcement 1: Next class will start at 8:00 AM. 

Announcement 2: 3rd class test on the mathematical problems of Chapter 3 and 4. Date: December 7th.

Class 9

December 7, Room 603

Time 8:20 - 10:40 

Pearson's correlation. Coefficient of determination. Correlation and cause. Intercept and slope. Regression analysis. Assumption of regression analysis. 

An overview on assignment. Deadline: December 28.