**
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, there are usually two classic textbooks:

1.

Elementary Statistics, 3rd CA Edition, by Triola, Pearson.

2.

Elementary Statistics: A Step By Step Approach 10th Edition
by Allan G. Bluman.

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
**• **
Items for Exam 3: formula sheet
**• **
T Table
**• **
Z Table
**• **
Lecture12: Hypothesis testing about the difference of 2 means -II
**• **
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!
**Shopping Tips:** Don't buy stuff for cheap, eventually it will cost you more.

**• ** **How can you get some cash back when you shop online**?
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This can help you earn a few hundred dollars per year easily.

**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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