Class History: Business Statistics (Fall 2017)

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Course: Business Statistics (Fall 2017, BBA Evening)  

This page summarizes all the classes (including extra classes) of the course Business Statistics (Fall 2017, BBA Evening).

• • Regular classes (usually on Thursdays at 6:00 PM): 13

  • Extra classes: 1 

  • Total classes: 14

Class 1

September 14, Room 601, Time 6:15 - 8:20 PM 

Course outline distributed in the class. 

Orientation class: Usefulness of statistics in business and other discussions. 

Chapter 1. Statistics defined. Data, information, and their differences with examples. Types of variables with examples: Qualitative, quantitative, continuous, discrete.

Class 2

September 21, Room 601, Time 6:15 - 8:20 PM 

This class was a complete recap of previous class because 50% students were new. 

What is statistics -- explained briefly. Data, information, and their differences. Types of data. Levels of measurement.

Class 3

September 28, Room 601, Time 6:30 - 8:00 PM 

Recap of the previous topics because 50% students were new. 

Statistics defined. Data and information. Function of statistics in terms of data and information. Types of data.

Class 4

October 5, Room 601, 6:15 – 8:30 PM 

Population and sample. Chapter 2. central tendency measurement; average / mean; population and sample mean; properties of mean; weighted mean. 

Class 5

October 12, Room 601, 6:30 – 9:05 PM 

Median; problems of mean. Chapter 3. Reasons behind measuring dispersion. Range. Mean deviation. Standard deviation. Interpretation of standard deviation using empirical rule. 

MCQ Quiz (Class Test 1).

Class 6

October 19, Room 601, 6:30 – 8:30 PM 

Class Test 2: Mathematical problems on chapter 2 and 3.

Solution to class test: Solved all problems in the class.

Class 7 (Extra)

October 19, Room 601, 8:30 – 9:30 PM

Skewness. Calculation and interpretation of skewness.

Class 8

October 26, Room 601, 6:30 – 8:00 PM 

Review of the midterm syllabus: Theoretical and mathematical parts.

Midterm Exam

November 2, Room 602, Time 7:00 – 8:30 PM 

Syllabus: Chapter 1, 2, 3.

Class 9

November 11, Room 601, 6:00 – 7:30 PM

Chapter 4. A brief overview of data presentation. Drawing a pie chart (sources of income as an example).

Class 10

November 16, Room 601, 6:25 – 8:30 PM 

Various ways of presenting data. Ordinary frequency distribution. Relative frequency distribution. Histogram and frequency polygon (graph papers were given to each student).

Class 11

November 23, Room 601, Time 6:20 - 8:45 PM 

Drawing a pie chart with 180 degree protractor and 360 degree protractor: mathematical demonstration. 

Chapter 6: The concept, definition, and explanation of correlation: exhibited with graphs and simple math. Major types of correlations. When to use which correlation: flowchart. Math: correlation between advertisement expenses and revenue.

Class 12

November 30, Room 601, Time 6:20 - 8:30 PM 

Spearman’s correlation and its applications. Mathematical example: Spearman’s correlation (weekly study hours vs. grade). R-square explained. Correlation and cause.

Class 13

December 7, Room 601, Time 6:20 - 8:45 PM 

Chapter 8. Regression analysis explained. Terms related to regression analysis: x, y, multi variables, slope, intercept, recession equation. Mathematical problem: regression analysis of commission (x) and revenue (y). The line of regression. Assumptions of linear regression. 

Assignment.

Class 14

December 14, Room 601, Time 6:30 - 8:45 PM 

Chapter 5. Probability. Classical and empirical probability. Special rule of addition. Special rule of multiplication. General rule of addition. 

Class Test 3. 

Final Exam

December 28, Room 1002, Time 7:00 – 9:00 PM 

Syllabus: Chapter 4, 5, 6, 7.

Related Pages

• Business Statistics (Fall 2017, BBA Evening)