Complete Statistics Guide : Fo

Quick and Easy Basics of Core concepts of Statistics with Examples without ADS

This Statistics preparation material will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable examples.

Audience

This tutorial will give you great understanding on concepts present in Statistics syllabus and after completing this preparation material you will be at intermediate level of experties from where you can take yourself at higher level of expertise.

Prerequisites

Before proceeding with this tutorial you should have a basic understanding of Mathematics.

Concepts Covered

Adjusted R-Squared

Analysis of Variance

Arithmetic Mean

Arithmetic Median

Arithmetic Mode

Arithmetic Range

Bar Graph

Best Point Estimation

Beta Distribution

Binomial Distribution

Black-Scholes model

Boxplots

Central limit theorem

Chebyshev's Theorem

Chi-squared Distribution

Chi Squared table

Circular Permutation

Cluster sampling

Cohen's kappa coefficient

Combination

Combination with replacement

Comparing plots

Continuous Uniform Distribution

Cumulative Frequency

Co-efficient of Variation

Correlation Co-efficient

Cumulative plots

Cumulative Poisson Distribution

Data collection

Data collection - Questionaire Designing

Data collection - Observation

Data collection - Case Study Method

Data Patterns

Deciles Statistics

Dot Plot

Exponential distribution

F distribution

F Test Table

Factorial

Frequency Distribution

Gamma Distribution

Geometric Mean

Geometric Probability Distribution

Goodness of Fit

Grand Mean

Gumbel Distribution

Harmonic Mean

Harmonic Number

Harmonic Resonance Frequency

Histograms

Hypergeometric Distribution

Hypothesis testing

Interval Estimation

Inverse Gamma Distribution

Kolmogorov Smirnov Test

Kurtosis

Laplace Distribution

Linear regression

Log Gamma Distribution

Logistic Regression

Mcnemar Test

Mean Deviation

Means Difference

Multinomial Distribution

Negative Binomial Distribution

Normal Distribution

Odd and Even Permutation

One Proportion Z Test

Outlier Function

Permutation

Permutation with Replacement

Pie Chart

Poisson Distribution

Pooled Variance (r)

Power Calculator

Probability

Probability Additive Theorem

Probability Multiplecative Theorem

Probability Bayes Theorem

Probability Density Function

Process Capability (Cp) & Process Performance (Pp)

Process Sigma

Quadratic Regression Equation

Qualitative Data Vs Quantitative Data

Quartile Deviation

Range Rule of Thumb

Rayleigh Distribution

Regression Intercept Confidence Interval

Relative Standard Deviation

Reliability Coefficient

Required Sample Size

Residual analysis

Residual sum of squares

Root Mean Square

Sample planning

Sampling methods

Scatterplots

Shannon Wiener Diversity Index

Signal to Noise Ratio

Simple random sampling

Skewness

Standard Deviation

Standard Error ( SE )

Standard normal table

Statistical Significance

Statistics Formulas

Statistics Notation

Stem and Leaf Plot

Stratified sampling

Student T Test

Sum of Square

T-Distribution Table

Ti 83 Exponential Regression

Transformations

Trimmed Mean

Type I & II Error

Variance

Venn Diagram

Weak Law of Large Numbers

Z table