Missing Value Imputation in R
Missing Value Imputation in R, Every data user is aware of the problem: Nearly all data sets contain some missing data, which can cause major issues like skewed estimations or decreased efficiency owing to...
Category: Statistics
Cross-validation in Machine Learning
Cross-validation in Machine Learning, cross-validation is a word that everyone who works with machine learning techniques will come across at some point. We provide you with a quick overview of cross-validation in this blog...
Principal Component Analysis Advantages
Principal Component Analysis Advantages, with the help of Principal Component Analysis (PCA), a statistical technique, we are able to reduce the number of features in our data from a large number to just a...
How to Analyze Likert Scale Data?
How to Analyze Likert Scale Data? The most popular technique for sizing replies in survey investigations is the use of Likert scales. The Likert scale is used in survey questions that ask you to...
Standard Deviation explained with examples
Standard Deviation explained with examples, in statistics, the term standard deviation is widely used to solve the various branches of statistics. It is usually used to find the differences in the data values from...
Basic statistics concepts
Basic statistics concepts, The Z value is a measure of standard deviation, or how far the observed value deviates from the mean. For example, the value of z value = +1.8 indicates that the...
Kappa Coefficient Interpretation Guide
The kappa coefficient, which is used to determine inter-rater reliability or agreement, is explained in this article. The magnitude of kappa is frequently more important in most applications than the statistical significance of kappa....
Importance of Quartiles in Statistics for Data Science
Importance of Quartiles in Statistics, Data science is ranked as the third-highest demanded profession globally, which is certainly not bad at all. Millions of students aspire to become data scientists, but honestly, it takes...
How to Interpret a Standard Deviation of Zero?
How to Interpret a Standard Deviation of Zero?, The standard deviation is a statistic that measures the spread of values in a sample. The standard deviation of a sample can be calculated using the...
How to interpret Margin of Error Results?
How to interpret Margin of Error Results, In statistics, the margin of error is used to determine how accurate a population proportion or population mean estimate is. When constructing confidence intervals for population parameters,...
