Reading: Field, Chapters 1 to 3
Okay, if you do not know what the mean, median, and mode are... then you probably should not be taking this course. But just in case watch THIS.
The BIG concept to get here is VARIANCE. If you truly understand what variance is then you will be just fine with anything you do in statistics.
First, watch THIS video. Then this ONE. And then this ONE. And finally this ONE.
Once you have done that, there are a series of R scripts below to run. Play with them and figure out what I am trying to teach you with them.
1. What is Variance?
2. Sample Size and its Impact of Sample Means.
3. Sample Size and its Impact on the Variance of Sample Means.
4. Sample Size and Variance.
5. Another One on Sample Size and Variance.
6. Why Sample Size Matters When Comparing Two Means.
For each of these files, first of all figure out what it is doing. What does each line of code do. Then, play with some of the variables. Finally, what is the message or point that I am trying to tell you?
EXAM QUESTIONS
2.1 What is a normal distribution? What is skew? What is kurtosis?
2.2 What is central tendency? What are the mean, median, and mode?
2.3 What is mean by "The mean is a statistical model"? What are statistical models?
2.4 What is variance? What is standard deviation?
2.5 What is the difference between populations and samples?
2.6 What is the central limit theorem?
Okay, if you do not know what the mean, median, and mode are... then you probably should not be taking this course. But just in case watch THIS.
The BIG concept to get here is VARIANCE. If you truly understand what variance is then you will be just fine with anything you do in statistics.
First, watch THIS video. Then this ONE. And then this ONE. And finally this ONE.
Once you have done that, there are a series of R scripts below to run. Play with them and figure out what I am trying to teach you with them.
1. What is Variance?
2. Sample Size and its Impact of Sample Means.
3. Sample Size and its Impact on the Variance of Sample Means.
4. Sample Size and Variance.
5. Another One on Sample Size and Variance.
6. Why Sample Size Matters When Comparing Two Means.
For each of these files, first of all figure out what it is doing. What does each line of code do. Then, play with some of the variables. Finally, what is the message or point that I am trying to tell you?
EXAM QUESTIONS
2.1 What is a normal distribution? What is skew? What is kurtosis?
2.2 What is central tendency? What are the mean, median, and mode?
2.3 What is mean by "The mean is a statistical model"? What are statistical models?
2.4 What is variance? What is standard deviation?
2.5 What is the difference between populations and samples?
2.6 What is the central limit theorem?