statistics

This package widely covers the field that Japanese high school students would learn in their curriculum "Mathematics - C". I planned this package easy to read for everybody who has just the average high school students' knowledge, except for the part pertaining to the various distributions.

Characteristically, this package approximates binomial distribution, sometimes using normal distribution and some other times using Poisson distribution. In these instances, one might feel queer why this approximates in normal distribution while that in Poisson distribution. To these queries, you will see many visual exercises using graphs and simulations adequately prepared for your easier understanding.

Statistics
1 Basics - probability and dimension		2 From probability to statistics		3 Binomial approximation		4 Statistical inference - application for practical problems		5 Test	6 Various distributions
1	Relation between probability and dimension (1)	1	The hottest LaMian shop?	1	Applications of the normal distributions	1	Standard deviation to express error		1	Relation among various distributions
2	Relation between probability and dimension (2)	2	3 kinds of averages compared visually	2	Ichiro and binominal distribution	2	Inference of the population mean		2	Normal distribution
3	Relation between probability and dimension (3)	3	Frequently used averages	3	The binomial distributions and the normal distributions	3	How many shells in the beach are there?		3	Binomial distribution
4	Dropping needles for the circular constant?	4	What is distribution?	4	The best-prepared changes	4	Inference of the population ratio( Cabinet's approval rating)		4	Poisson distribution
5	Elevator paradox (1)	5	Chebyshev's inequality	5	Binomial distribution and Poisson distribution	5	Ichiro's batting average & Tigers's victory		5	Hypergoemetric distribution
6	Elevator paradox (2)	6	Normal distribution, an introduction	6	A breather(your birthday coincides with mine!)		Let's estimate(3)Inference of popuration number		6	-distribution
		7	The law of large numbers						7	F-distribution
		8	Central Limit Theorem						8	t-distribution
									9	-distribution

I prepared the package easy to understand, if you read it in its order and steadily. There might, however, be some parts where you need a certain background. In such cases, you can refer to the links prepared there in each chapter. I also prepared remarks in some rare cases, where backgrounds beyond the level of high school are required. In such cases, you don*t have to beat your brain out. At any rate, it is important to continue to read at ease, through to the end.