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
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:
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