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Introduction to Statistics

"Welcome back to School! Wish everyone in the new semester
More happiness! More Health! More Bright Future!"
-- Dr K

Join Google Study Group for discussion, get help from homework questions.

• How Hot is Statistics/Big Data now:
Statistics/Big Data is like teenage sex
Everyone talks about it
Nobody really knows how to do it
Everyone thinks everyone else is doing it
So everyone claims they are doing it....

For the textbooks of statistics, Elementary Statistics, 3rd CA Edition, by Triola, Pearson. The following are the amazon links for the textbook and student solution manual. You may consider buying together with other classmates if it's expensive.

Download Lecture Notes

      Lecture01: Introduction, Motivation to Stats
      Lecture02: Measure of Central Tendency, Variance, Measure of Position
      Homework #1: from section 3.1, 3.2, 3.3 Central Tendency, Variance
      Homework #1 Solution: from section 3.1, 3.2, 3.3
      Lecture03: Addition rule of probability,Multiplication rule,Independent Events
      Homework #2: Multiplication rule   Homework #2 Solution

      Hw #3:permutation, combination       Hw #3:Solution
      Lecture04: Counting rules,Permutation, Combination
      Please Print out: Exam 1 formula sheet
      Lecture05: probability distribution, binomial distribution
      Hw #4: probability distribution       Hw #4 detail Solution
      Lecture06: Normal distribution, approximation to normal distribution
      Lecture07: Central Limit theorem, approximation to binomial distribution
      Print out: Normal Distribution Table
      Homework #5: Normal Distribution       HW #5: More detail
      Homework #6: Central Limit Theorem       Hw #6: solution
      Please print out: Exam 2 formula sheet
      Lecture08: Confidence Interval for the mean       T Table
      Homework #7: Confidence Interval from 7.1-7.3 solution
      Hw #7: solution more details
      Example: Margin of error in presidential election
      Lecture09: Introduction to Hypothesis testing
      Lecture10: 5 Steps for Hypothesis testing about the mean
      Homework #8: Z test for Hypothesis testing with Solution
      Homework #9: T test with solution
      Lecture11: Hypothesis testing about the difference of 2 means -I
      Lecture12: Hypothesis testing about the difference of 2 means -II
      Items for Exam 3: formula sheet   T Table   Z Table
      Homework #10: Hypothesis testing about the difference of 2 means -I
      Lecture13: Regression & Correlation       Hw #10: more details
      Homework #11: Hypothesis testing about the difference of 2 means -II
      Statistics 101: Hypothesis Testing Process Flow   Hypothesis Testing Summary
      Homework #12: Correlation and regression
      Lecture14: Test of goodness of Fit
      Chi-Square Table       Lecture15: F distribution, F Test, compare variance
      Homework #13: Chi-square & F-distribution
     
      Homework #13: some explanation
      Open a Target RedCard to Save 5% on Everything, Plus an extra 10% off.       Print for final: Z Table   T Table       Chi-Square   Exam 4 formula sheet

Thank you for your attendance to this class!
Everyone has a great vocation and bright future!


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Exam with solutions
We provide the comprehensive final exams, and the detailed solutions with step by step explaination, plus the final grading rules!
Final Exam 1   Final 1 solutions   Final Exam 2   Final 2 solutions   Final Exam 3   Final 3 solutions   Final 4 solutions
Practice Exam Review 1a     Practice Exam Review 1b     Practice Exam Review 2a
Practice Exam Review 2b     Practice Exam Review 3a     Practice Exam Review 3b

Here are 2 more useful and powerful big data applications:

• If you want to find the household income around your neighborhood, or monthly rent, education level, race distribution, same-sex couple around your neighborhood, you can go to the NYTimes webiste.

• If you want to find out whether there are Sex Crime Offenders around your neighborhood, you can go to the MeganLaw Government webiste.


In case if you really want to invest and polish your data scientist/statistician skillsets, you can get the following "7-week free training called Data Incubator"

The Data Incubator is an intensive 7 week fellowship that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants. It identifies fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors. The program is free for fellows. Employers only pay a tuition fee if they successfully hire.

Related links:

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