Class 1

May 21, Room 601, Time 14:00 - 15:15

Statistics defined (short and long definition). Purposes or tasks of statistics based on long definition. Variables and sets. Types of variables.

Class 2

May 23, Room 601, Time 14:15 - 15:05

Data vs. information. Population and sample. Descriptive and inferential statistics.

Announcement: Quiz on May 30. Syllabus: Chapter 1.

Class 3

May 28, Room 601, Time 14:10 - 15:00

Classification of data based on levels of measurement.

Class 4

May 30, Room 601, Time 14:50 - 15:35

1st class test: Quiz.

Class 5

June 11, Room 601, Time 14:40 - 15:25

The summation sign. Mathematical problems involving the summation sign. Why measure central tendency? Arithmetic mean -- population and sample mean.

Class 6

June 13, Room 601, Time 14:30 - 15:20

Recap: What is statistics? Data vs. information. Type of data: Qualitative, quantitative, continuous, discrete. Variable and set.

Class 7

June 18, Room 601, Time 14:30 - 15:35

Recap: Statistics defined. Functions of statistics. Data vs. information. Types of data. Variable and set. Sample and population.

Class 8

June 20, Room 601, Time 14:30 - 15:50

Why should you measure central tendency? The summation sign. Various methods of measuring the central tendency. Population and sample mean. Properties of arithmetic mean.

Class 9

June 25, Room 601, Time 14:30 - 15:25

Median, mode, and weighted-mean.

Class 10

June 27, Room 601, Time 14:50 - 16:15

Class test - 2. 

Midterm Exam

July 4 at 5:00 PM.

Class 11

July 16, Room 601, Time 14:30 - 15:35

Why measure dispersion: Explained with the example of x={100,200,100,200} and y={50,250,50,250}. Range and its pros/cons, with math. Mean deviation with math and interpretation.

Class 12

July 23, Room 601, Time 14:30 - 16:00

What is normally-distributed data? Skewness concept. Positive, negative, and zero skewness -- meaning. Math: university arrival time.

Class 13

July 25, Room 602*, Time 14:45 - 15:45

Range-to-mean ratio. Describing data: Methods of data presentation. The concept of frequency distribution.

Class 14

August 8, Room 601, Time 14:35 - 15:15

Pie chart.

Class 15, Class 16 (Extra)

August 22, Room 601, 

Time 14:40 - 16:00 (Class 15); 16:00 - 17:00 (Class 16)

Frequency distribution. Relative frequency distribution. Histogram, frequency polygon, and pie chart. 

Workshop: Histogram and frequency polygon on graph paper.

Class 17

August 27, Room 801, Time 15:00 - 16:15

The concept of probability. Types of probability. Types of events. Probability computation rules. Mathematical problems.

Class 18 (Extra)

August 27, Room 801, Time 16:15 - 17:25

Correlation and their types. Calculation of Spearman’s correlation. Coefficient of determination. Correlation and cause.

Assignment.

Final Exam

Syllabus: Chapter 3 - 6.