Complete Statistics Guide (OFFLINE) - Lumos Educational App Store

This Statistics guide will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable examples. We Have Complied Complete Statistics Syllabi including Chapters like: 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