Class History: Business Statistics (Fall 2017)
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.
Final Exam
December 28, Room 1002, Time 7:00 – 9:00 PM
Syllabus: Chapter 4, 5, 6, 7.