Statistics in R Series — Introduction We have covered various types of logistic regression in the past several articles. The goal of all these models is to predict future data points as well as intermediate data points as accurately as possible. …

Statistics in R Series — Introduction We have covered logistic regression models for both binary and ordinal data and also demonstrated how to implement the model in R. Moreover the prediction analysis using the R libraries was also discussed in earlier articles. We have seen the impact of single as well as multiple predictors on…

Adjusted Boxplot for skewed distribution — Introduction In the pervious article, I have discussed about outlier detection procedures for mostly normal distributions. The procedures include IQR (Inter-Quartile Range) Standard deviation Z-score Modified Z-score We have gone through the boxplots after these abovementioned procedures are implemented and shown the number of outliers in each case. In real…

IQR, Hampel and DBSCAN method — Outliers, one of the buzzwords in the manufacturing industry, has driven engineers and scientists to develop newer algorithms as well as robust techniques for continuous quality improvement. If the data include even if one outlier, it has the potential to dramatically skew the calculated parameters. Therefore, it is of utmost…

Pictures tell the story better — This is the article on children deaths statistics from current wars in the world. The picture shows how many children died since the start of war in Ukraine as well as the war between Israel and Palestine. The death rate in Palestine is increasing at an alarming rate.

Statistics with R in 3 minutes — Introduction Analysis of Variance, or ANOVA, is a statistical technique used to analyze the differences among group means in a sample. It helps us determine whether there are statistically significant differences between the means of three or more independent (unrelated) groups. ANOVA is a powerful tool widely used in various…

Statistics with R in 3 minutes — Introduction The paired t-test, also known as the dependent t-test or matched pairs t-test, is a statistical hypothesis test used to determine whether the means of two related groups are significantly different from each other. It is particularly useful when you want to compare the means of paired observations, such…

Statistics with R in 3 minutes — Introduction In statistics, hypothesis testing is a powerful tool used to make inferences about populations based on sample data. One commonly used test is the univariate t-test, which assesses whether the means of two groups are statistically different from each other. This test is especially useful when you want to…

Example 1 —