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...
Category: Statistics
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,...
What is an adaptive clinical trial?
In adaptive clinical trials, A patient may be given a new, more effective medication as an adaptive design clinical study develops. Any design that allows for changes to a clinical trial as it progresses...
Statistical test assumptions and requirements
Statistical test assumptions and requirements, many statistical processes, such as correlation, regression, t-test, and analysis of variance, presuppose that the data has a given property. Statistical test assumptions and requirements In general: The data...
Regression Analysis in Statistics
Regression analysis in statistics, Regression analysis is a technique for identifying patterns in data. You might think there’s a link between how much you eat and how much you weigh, for example; regression analysis...
