### Class History: Business Statistics (Fall 2017)

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

## 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.