### Class History: Business Statistics (Fall 2018, BBA)

Total classes: 19 (17 regular classes and 2 extra classes).

## Class 1

September 22, Room 601, Time 12:45 - 14:10

An overview of the whole course. Statistics defined. Functions of statistics: explained in details.

## Class 2

September 29, Room 601, Time 12:45 - 14:00

A brief overview of the course. Data, information, and their differences. Statistics defined. Variables and their types.

## Class 3

September 29, Room 601, Time 14:00 - 15:05

Types of statistics: descriptive and inferential. Population and sample. Reasons behind sampling.

## Class 4

October 6, Room 601, Time 12:40 - 14:00

Levels of measurement: nominal, ordinal, interval, ratio. The summation sign. Population and sample mean.

## Class 5

October 6, Room 601, Time 14:00 - 15:35

Properties of arithmetic mean. Problems or disadvantages of arithmetic mean. Median.

Announcement: class test on the next class.

## Class 6, Class 7

October 13, Room 601

Time:

13:00 - 14:15

14:15 - 15:35

Mode. Weighted mean.

Why study dispersion? Range. Variance and standard deviation. Skewness. The empirical rule.

## Class 8 (Extra)

October 13, Room B2-306, Time: 16:30 - 17:15

Class test 1 (on chapter 2).

Suggestion for the midterm exam.

## Midterm Exam

October 27, Time: 12:00

Syllabus: Chapter 1, 2, 3.

## Class 9, Class 10

November 10, Room 601

Time:

12:30 - 13:45

13:45 - 14:50

Various approaches of data presentation: tables, frequency distribution, histogram, frequency polygon, pie chart. Pie chart in details.

## Class 11, Class 12

November 17, Room 601

Time:

12:35 - 13:45

13:45 - 14:55

Math: Monthly salary of the employees are given, where n=20. Requirements: ordinary frequency distribution, relative frequency distribution, histogram, frequency polygon, pie chart. Differences between histogram and frequency polygon. Definitions.

## Class 13, Class 14

November 17, Room 601

Time:

13:00 - 14:15

14:15 - 15:20

The concept of probability. Classical and empirical probability. Mutually exclusive and independent events. Special rule of addition, special rule of multiplication, and general rule of addition.

Mathematical problems:

1. Classical probability

2. Empirical probability

3. Special rule of addition (Mr. or Mrs. Smith)

4. Special rule of multiplication (A+ on both subjects)

5. Special rule of multiplication (chance of getting married)

6. General rule of addition (Masters in science degree or MBA degree)

## Class 15

December 1, Room 601

Time: 13:40 - 15:15

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.

## Class 16

December 1, Room 601

Time: 15:30 - 16:30

Math: Spearman’s correlation between weekly study hours (x) and academic grade (y).

Announcement: Class test on the mathematical problems of chapter 4 and 5. Date: December 8, at the class time.

## Class 17, Class 18

December 8, Room 601

Time:

12:45 - 14:15

14:30 - 15:30

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

Announcement: 2nd class test on December 12, at 12:00 PM. Syllabus: mathematical problems of chapter 4 and 5.

## Class 19 (Extra)

December 12, Room 603

2nd Class test.