## 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...

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# Category: Statistics

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Basic statistics concepts

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Kappa Coefficient Interpretation Guide

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Importance of Quartiles in Statistics for Data Science

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How to Interpret a Standard Deviation of Zero?

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How to interpret Margin of Error Results?

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What is an adaptive clinical trial?

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Regression Analysis in Statistics

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Multivariate Logistic Regression in R

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Logistic Regression Machine Learning: Explanation

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Different types of scales and their Names

Statistical analysis solves complicated problems that create a big impact across the fields.

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...

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, 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?, 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, 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,...

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...

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...

Multivariate Logistic Regression in R, That’s an excellent segue into what to do when there are multiple variables. The two models we’ve looked at thus far only do single-variable logistic regression. Logistic Regression Machine...

Logistic regression machine learning, So now we’re going to get a little bit more maths. Let’s, for shorthand, write p of X for the probability that y is 1 given X. And we’re going...

Different types of scales and their names, we use data to answer fascinating issues in statistics. However, not all information is created equal. There are four different data measurement scales that are used to...