Lecture
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Chapter 
Topics 
Lecture Notes 


Chapter 1 
The Nature of Probability
and Statistics 



V1. Introduction [46:22] V2. Producing Data [45:02] V3. Producing
Data (Continued)
[14:31] 













Chapter 2 
Frequency Distribution and Graphs 



V4.
Descriptive Statistics  Histogram [30:22] V5.
Descriptive Statistics  Bar charts,
Scatter Plot, Time Plot [31:26] 









Use of SPSS (Creating Data File) Learn Creating SPSS Data File Using
Sample Data  Click here to view Sample Data (The
followings are video clips for learning SPSS) Other Video Clips for Data Processing 







Chapter 3 
Data Description 



V6.
Measures of Center [25:26] V7.
Measures of Variability [16:22] V8. Empirical and Chebychev
Rules, zscore [45:06] V9. Measures of Position  Percentiles and
Quartiles [27:36] V10. Five Number Summary and Boxplot
[33:18] V11.
 Additional
Example of making boxplot [15:08] [Real video] V12.
¡V More
on Box Plot [14:53] 








Use of SPSS (Descriptive Statistics) Learn SPSS From Using A Sample Data  Click here to download
SPSS Sample Data file (The followings are video clips for learning SPSS)  Mean, Standard Deviation, Histogram,
Boxplot, Stemplot, Normality Test, etc.  Frequency Table, Bar Chart, Pie Chart,
etc.  Scatter Plot  Cross Tabulation (Contingency Table),
Cluster Bar Chart  Means for Subgroups and Sidebyside
Boxplot Videos for Time Plot (Two ways to do line
chart): 












Chapter 4 
Probability (and Counting Rules) 



V14. Introduction to Probability [44:58] [Real video] V16. Additive
Rules, Conditional Probability
[47:09] V17. Multiplication Rules, Counting Rules
[44:49] V18. More on Counting Rules [45:43] 













Chapter 5 
Discrete Probability Distributions 



V19. Discrete Probability Distribution [42:52] 




V20. Variance of Discrete Probability
Distribution [51:29] 




V21. Binomial Probability Model [47:23] 




V23. Solution to an Binomial Prob. Problem
& Standard Normal Distribution
[47:20] 









V24.  Review Problems for Exam [Real video] [37:39] V25.  Continued
on Review Problems for Exam [50:37] 
Review problems (extra problems from chapters
4, 5,and 6) 







Chapter 6 
Normal Distribution 



V26. Application
of Normal Distribution [51:58] 



V27. Application
of Normal Distribution  Percentiles [48:27] 




V28.  One
more example on Normal Probability [6:19] 




V29.
 More
Examples on Normal Distribution [37:05] 



V30. Sampling
Distribution of the Mean [35:45] 
(solutions
in V29) 












Chapter 7 
Confidence Intervals and Sample Sizes 



V31. Confidence
Interval Estimation  Using zscore [38:52] V32. Continue
on Large Sample C. I. Estimation for Mean [32:25] 
(Slide#
1 to 38) 



V33. Confidence
Interval Estimation for Mean with tscore [48:30] 













Use of
SPSS 









Use of
SPSS 








Chapter 8 
Hypothesis Testing 



V35. Test for Mean
of A Population for Large Sample [48:45] 




V36. Test for Mean
of A Population for Large Sample (Cont.) [46:44] 



V37. Test for
Mean of A Population Using tDistribution [34:19] 













Use of
SPSS 












Review Problems: 




V39a. Review Problems (YouTube) [Confidence Interval for Prop.] V39b. Review
Problems (YouTube) [Confidence Interval for Mean] V39c.
Review
Problems (YouTube) [Hypothesis for Mean] 











Chapter 9 
Testing
the Difference Between Two Means 



V40.
Paired
Sample ttest [8:27] 




V41. Two
Independent Sample ttests
[41:00] (optional)










Use of
SPSS 













Chapter 10 
Correlation and Regression 



V41. Linear
Correlation and Regression [44:45] 




V42. More on
Correlation and Regression [38:45] 









Use of SPSS 












Chapter 11 
Chisquare Tests 



V43. Goodness
of Fit Test [14:59] V44. Chisquare
test of Independence [22:30] 




V45. 
An
Example of Chisquare Test for Independence(8:30) 








Use of
SPSS 













Review 
V46. Review for Final Exam [52:25] 



V47. Review for Final Exam Continued [54:19] 


