Research project tutorial topics Feb 2022

Research project tutorial  topics Feb 2022

The main theme is correlation analysis

1. On correlation analysis; demonstration of Excel [slideshare on correlation analysis].
a. basic concept of correlation video: understanding correlation.
b. note the difference with causal relations.

c. a video: types of variables (detailed). [slideshare about independent and dependent variables].
1.1 scatter diagram
*** basic tutorial video on scatterplot and linear correlation
(also refer to: https://www.excel-easy.com/examples/trendline.html), and coefficient of determination. A related video on the coefficient of determination/ correlation; a video on coefficient of determination. A video on linear regression [the basics].
*** on Simpson's Paradox [video]; a note on Simpson's paradox.
1.2 Data->data analysis -> regression
1.3 Slides on correlation analysis.
1.4. Slides on independent and dependent variables.


2. Videos: 

2.1 * the normal distribution./ * understanding the central limit theorem./ standardized normal distribution.

2.2 on P-value and significance test/ Z-tests; also on p-value and z-score in terms of the normal distribution curve.
Also see slides on P-value.

2.3 * video: one tailed and two tailed tests, and critical values.

2.4 Video on confidence and significance level.

2.5 On falsification (a video). [also study hypothesis testing and knowledge: a note].

3. Correlation hypothesis statements
3.1. Slides on hypothesis testing/ a video on hypothesis testing. Another slideshare on hypothesis testing.

3.2. Some students may need a revision on the topic of 'graphing linear equation'.

3.3. Examples

If it is one-sided, then 2.5% area resides in the tail.

3.4 hypothesis testing with correlation hypothesis statement: part 1

3.5 hypothesis testing with correlation hypothesis statement: part 2

3.6. a brief one on hypothesis testing with correlation hypothesis statement.

4. On multiple regression analysis

** Introductory video: simple linear regression./ do a linear regression on Excel.

4,1 multiple linear regression. part 1

4.2 multiple linear regression part 2.

4.3 multiple linear regression - evaluating basic models.

4.4 using Excel for multiple regression analysis.

4.5 Excel multiple regression report: how to interpret [video].

Additional minor topics to cover:

5. On cause and effect: slides.

6. On primary and secondary research: slides.

7. On quantitative research: slides.