Statistical Aid_ A School of Statistics

Statistical Aid: A School of Statistics Learn

Statistics and

Data Analysis Intuitively!

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Welcome to Statistical Aid! Statistical Aid is a site that provides statistical content, and data analysis content, and also discusses the various fields of statistics. You can learn statistics and data analysis intuitively through Statistical Aid. All the contents on this site are written to help students who are very weak in statistics and data analysis. From basic to advanced, you can get all the topics of statistics presented on this site very simply. You can get help from the following topics:

Basic Statistics Definition and scope of statistics Statistical Data Population vs Sample Random Variable Central tendency Arithmetic, Geometric and harmonic mean Measures of Dispersion Variance and Standard Deviation Skewness and Kurtosis Correlation analysis Intra vs Inter class correlation Regression Analysis Data levels (Nominal, ordinal, Interval and Ratio) Hypothesis Testing Multicollinearity

Probability Distributions in Statistics Bernoulli Distribution Binomial Distribution Negative Binomial distribution Poission Distribution Exponential Distribution Normal distribution Gamma Distribution Geometric Distribution Hypergeometric Distribution Uniform Distribution Power Series Distribution Logarithmic Series Distribution

Sampling Distributions in Statistics Probability Sampling Simple Random Sampling Stratified Sampling Systematic Sampling Multi-Stage Sampling Cluster Sampling

Quadrat Sampling Non Probability Sampling Purposive sampling Snowball sampling Convenience sampling

Data Analysis Using SPSS Data analysis using spss Data input in spss Import data in spss Sort data using spss Merge data file in spss Combine data set in spss Missing value in spss Variable transformation in spss Univariate analysis in spss Bivariate analysis in spss Normality of data in spss Data Analysis Using Stata Introduction to data analysis using Stata Data cleaning and editing in Stata Variable manipulation and reliability in Stata Multiple Regression analysis in Stata Data Analysis Using R/R Studio Import data into R Principal component analysis (PCA) code Canonical correlation analysis (CCA) code Independent component analysis (ICA) code Cluster Analysis using R One-way ANOVA using R Two-way ANOVA using R Paired sample t-test using R One sample T-test using R Random forest in R Chi-square test in R Pearson correlation test in R There are also some other topics as follows: Machine Learning and Data Science Non-Parametric Tests Time Series Analysis Statistical Inference Experimental Design Data Science

Data Analytics tools free Download SPSS 25 free Download Stata 14.2 free Download If you want more content about any topics, just mail us at admin@statisticalaid.com or Contact Us.