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Using R: PMF of the Sum of K Independent Binomials

Using R: Simulating Bivariate Normal Random Data (part 1)

Using R: Simulating Bivariate Normal Random Data (part 2)

Using R: Sample Mean and Variance - Investigating the Relationship

Using R to Plot the Exact Sample Range Distribution for any Continuous Density Function

Using R to Plot the Exact Sample Median Distribution for any Continuous Density Function

Using R for a 95% CI for Population Median using Sample Order Statistics

Discrete Order Statistics with Illustration using R

Using R to Find an Exact CI for a Poisson Parameter

Using R and the Relationship between the Exponential, ChiSq, and Gamma Distributions

Using R to Calculate Exact Farkle Probabilities - Dice Rolling Game

Using R to Generate Truncated Cauchy Random Variables

Exponential Family: Using R to simulate and confirm the theoretical results

Correlation between variate values and corresponding ranks (part 3): Illustration Using R.

Using R: The Multivariate Sign Test

Generating Uniformly Distributed Points on the Surface of a Sphere

Using R: Generating Uniformly Distributed Points on the Surface of a Sphere

MLE of a Gumbel Distribution (part 1)

MLE for a Gumbel Distribution (part 2)

Using R to Generate a Random Sample from a Gumbel Distribution

MLEs of a Gamma Distribution (part 2)

Method of Moments and MLEs for a Beta Distribution (part 2)

Generating Double Exponential Data from Scratch

Using R to Generate Double Exponential Data and Calculate the MLEs

Using R to explore the joint distribution of the sample mean and variance

Using R to confirm the moments of sufficient statistics of an inverse gamma distribution

Using R to find the MLEs and Method of Moments estimators for an Inverse Gamma Distribution

Using R to test multivariate ordered alternatives with Follmann's test

Using R: Gram-Schmidt Orthonormalization Process

Using R: Simple Linear Regression from Scratch

Using R: QQ-Plots versus Rankit Plots.

Using R: Shapiro-Wilk Normality Test

Estimating Pi with Random Numbers Using R (part 1 of 2)

Estimating Pi with Random Numbers Using R (part 2 of 2)

Using R: Calculating Probability for a Bivariate Normal Random Variable

Using R: Method of Moments and ML estimators for Beta Binomial Distribution

Using R: Serpenski's Triangle from Numberphile's Video

Using R to Play HIP: A Math Logic Game

Description:

Explore a comprehensive series of R programming tutorials covering a wide range of statistical concepts and applications. Learn to use R for various tasks including probability distributions, random data simulation, confidence intervals, order statistics, maximum likelihood estimation, and more. Dive into advanced topics such as multivariate statistics, generating points on a sphere, and implementing statistical tests. Practice applying R to real-world scenarios like estimating pi, calculating game probabilities, and creating visualizations. Gain hands-on experience with R programming while deepening your understanding of statistical theory and methods.

Using R

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#Programming #Domain-Specific Languages (DSL) #R Programming #Data Science #Data Analysis #Mathematics #Statistics & Probability #Statistical Modeling #Regression Analysis #Hypothesis Testing #Confidence Intervals #Statistical Analysis #Probability Theory #Probability Distributions #Parameter Estimation

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