Chapter 0 Prologue: Before Studying Statistics
0-1 What on earth is statistics?
0-2 Everyday life is full of statistics
[Column] Three Lies of This World
0-3 Most of the world's work is statistics.
0-4 Learning statistics will change the world and your life.
0-5 Are you a statistician or a statistician?
[Column] Incorrect statistics won't go away.
0-6 Let's leave the difficult calculations to the computer.
[Column] The History of Statistics, Beginning Before Christ
0-7 How good is your statistical sense?
[Column] It's not you who's bad at statistics.

Chapter 1: Fundamentals of Statistics: Data Management
1-1 Vivid data is the lifeblood of statistics: The importance of 'counting data'
[Column] Primary vs. Secondary Data, Public vs. Private Data
1-2 There are different types of data: quantitative data and qualitative data.
[Column] Detailed Classification of Qualitative and Quantitative Data
1-3 Organize the data into a table: Basics of data organization
Graph Tables 1-4: Histograms and Frequency Distribution Curves
[Column] If you reduce the class interval, the graph disappears?
1-5 Various graphs: bar graphs, pie graphs, line graphs, etc.
1-6 Numerical representation of distribution characteristics: mean and scatter plot
[Column] Kurtosis and Skewness
The average score of classes 1-7 is the average value
The middle of the 1-8 distribution is the median
1-9 Most data is the mode
1-10 Mean, Median, Mode and Graph
[Column] Mean, Median, and Mode of an L-Shaped Distribution
1-11 Numerical representation of the extent to which the distribution is spread
[Column] Quartile Deviation
1-12 Variance is very important in statistics
[Column] Variance Varies with Units
1-13 Variance of the standard deviation
[Column] What is the easiest scatter plot to handle in mathematics?
1-14 Create the same specifications through standardization
The deviation values ​​from 1 to 15 are also standardized.
[Column] A Teacher Who Loves the Value of Tea
Let's find the standard deviation and deviation value of 1-16 lifespans.


Chapter 2: The Concept of Probability: A Tool for Supporting Inferential Statistics
2-1 Probability is the basis of inferential statistics
[Column] Inferential statistics are based on random sampling.
2-2 Let's look at a random world
[Column] Experimenting with Random Points in Excel
2-3 Statistical probability that can be felt
[Column] The Statistical Probability of the Pressure Needle Pointing Up
2-4 Mathematical probability that thinks with the head
[Column] Dice and Probability
Let's get familiar with 2-5 random variables.
2-6 From relative frequency distribution to probability distribution
2-7 Mean, variance, and standard deviation of random variables
2-8 Normal distribution is the queen of probability distributions
[Column] Probability and Standard Deviation σ of the Normal Distribution
2-9 Random sampling is the lifeblood of inferential statistics.
[Column] RDD Method
2-10 Will you put it back in or not?: Extraction with restoration and extraction without restoration
[Column] How many ways are there to extract samples?
2-11 Population distribution and sample distribution
2-12 The distribution of the sample mean is normal: Central limit theorem
[Column] Let's look at the distribution of rock-paper-scissors and ladder-climbing.

Chapter 3 Statistical Estimation: Hear One, Give Ten, Know Ten
3-1 What is statistical estimation?
3-2 Guessing with just one number: Point estimation
[Column] Government approval ratings vary widely across media outlets.
3-3 Guess with some leeway: Interval estimation
Let's derive the 3-4 interval estimation formula: Central Limit Theorem
3-5 Let's understand the meaning of reliability correctly: 95%, 99% reliability
3-6 Estimates require some discomfort
[Column] Discomfort, Consistency, and Validity
3-7 variables but cannot be freely changed: degrees of freedom
3-8 Total Estimation with 100 People's Emergency Funds: A Representative Sample - Practical Estimation (1)
3-9 Estimating the total number of heights for 10 people: Practical estimation for small samples (2)
Estimating the 3-10 National Approval Rating Range: Practical Estimation (3)
3-11 Forbidden Presumption: The Game of Presumption Through the Eyes of God

Chapter 4 Statistical Testing: Challenging Hypotheses
4-1 What is a statistical test?
4-2 The rejected station is a garbage can of hypotheses.
[Column] The Foundation of Black: Probability Distribution
4-3 Careless Mistakes and Foolish Mistakes: Two Black Errors
4-4 The black procedure is mechanical
[Column] Various Coins
4-5 Testing the population mean with 100 heights: For a representative sample - Practical testing (1)
4-6 Testing the Population Mean Using Internet Usage Times of 10 People: A Practical Test for Small Samples (2)
[Column] Student's t-Distribution
4-7 Testing the population ratio using 100 smoking rates: For a representative sample - Practical testing (3)
4-8 Forbidden Black Play: Let's try black from God's perspective.
[Column] What is ANOVA?

Chapter 5: Correlation Analysis of Data: Showing the Closeness of Two Variants
5-1 Visualizing the relationship between two variables: Correlation plot (scatter plot)
[Column] What is a false correlation?
5-2 Determine the positive or negative correlation between two variables: Covariance
5-3 The degree of correlation is expressed as -1 or more and 1 or less: Correlation coefficient
5-4 Visualizing the relationship between two variables in a table: Cross-tabulation
[Column] Multivariate Analysis: Simultaneously Analyzing Multiple Variables

Chapter 6: Regression Analysis: Data Prediction is Indispensable in Business
6-1 Predicting Sales with Advertising Spend: Simple Regression Analysis
6-2 Accuracy of Prediction: Coefficient of Determination
6-3 Predicting Sales by Advertising Spend and Number of Salespeople: Multiple Regression Analysis
[Column] Why was the term 'regression' used?
6-4 Analyzing Franchisees from a Manager's Perspective: Application of Regression Analysis
[Column] Coefficient of Determination after Degrees of Freedom Adjustment

Chapter 7 Bayesian Statistics: What Happens Twice Can Happen Twice
Let's think flexibly about the 7-1 odds.
[Column] Kolmogorov's Axioms of Probability
7-2 Symbols and Terms Used in Probability
7-3 A great theorem that a pastor once thought of: Bayes' theorem
[Column] Thomas Bayes
7-4 The probability changes each time with experience: the parameter is a variable
7-5 Friendly Applications of Bayesian Statistics: Bayes Filters
[Column] A Fish in Water




Appendix 1 Chapter 0 Statistics Quiz Answers
Appendix 2 How to Use the LINEST Function
Appendix 3 Various probability distributions
Appendix 4 Permutations and Combinations
Appendix 5 Independent Implementation
Appendix 6 Central Limit Theorem
Appendix 7: How to Calculate the Coin Probability of Section 7-4 Using Bayes' Theorem
Appendix 8: Adding [Data Analysis] to Excel Add-ins
Appendix 9 Section 1-3 [Quiz] Answers

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