Category: Statistics

Autocorrelation and Partial Autocorrelation in Time Series

Autocorrelation and Partial Autocorrelation in Time Series, The correlation between two observations made at various times throughout a time series is known as autocorrelation. For instance, there might be a significant positive or negative correlation between numbers that are separated by an interval. Rejection Region in Hypothesis Testing – Data Science Tutorials When these correlations…

Statistics

Cross-validation in Machine Learning

November 17November 17 Jim No Comments

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 post. How to convert characters from upper to lower case in R (datasciencetut.com) Data Validation Assume for the moment that your…

Statistics

How to Analyze Likert Scale Data?

November 16November 16 Jim No Comments

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 rate your level of agreement, from strongly agree to strongly disagree. The worksheet contains data for two groups using a five-point…

Statistics

Statistical test assumptions and requirements

May 8May 12 Jim No Comments

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 are normally distributed, and the variances of the groups being compared are uniform (equal). These assumptions must be treated carefully in…

Statistics

What is Ad Hoc Analysis?

May 7May 12 Jim No Comments

Ad Hoc Analysis, A graph of data is sometimes the outcome of ad hoc analysis. Ad hoc means “just for a certain reason.” In business intelligence, ad hoc analysis is performed to answer a specific question at a certain time; in other words, on a “as needed” basis. The end result is a graph, report,…

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Statistics

Similarity Measure Between Two Populations-Brunner Munzel Test

May 7May 12 Jim No Comments

Similarity Measure Between Two Populations, The Brunner Munzel test (also known as the Generalized Wilcoxon Test) is a nonparametric statistical test for determining whether two samples are stochastically equal. Stochastic equality is a measure of population similarity in which two populations have about the same frequency of larger values. In statistical software, the BM test…

Statistics

Rejection Region in Hypothesis Testing

May 7May 12 Jim No Comments

Rejection Region in Hypothesis Testing, What is the definition of a Rejection Region? A rejection region is a section of a graph where the null hypothesis is rejected (assuming your test results fall into that area). Rejection Region The primary goal of statistics is to test theories or experiment results. For example, you may have…

Statistics

Hypothesis Testing Examples-Quick Overview

May 7May 12 Jim No Comments

An educated assumption about something in the world around you is a hypothesis. It should be able to be verified through experiment or observation. Consider a new drug that you believe may be effective. You believe there is a better method to teach. A possible new species’ habitat. A more equitable method of administering standardized…

Statistics

Descriptive statistics vs Inferential statistics: Guide

April 25April 30 Jim No Comments

Descriptive statistics vs Inferential statistics: In the field of statistics, there are two primary branches, Descriptive Statistics Inferential Statistics Descriptive statistics vs Inferential statistics The differences between the two branches are explained in this tutorial, as well as why each is helpful in certain scenarios. Descriptive Statistics In a word, descriptive statistics seeks to use…

Statistics

Control Chart in Quality Control-Quick Guide

April 23April 30 Jim No Comments

Control chart in quality control, To analyze the product’s quality, a statistical Quality Control chart is employed. Every product is created for a certain purpose; if it accomplishes that aim perfectly, it is deemed high quality; if not, it is not. For example, It is of good quality if an article meets the criteria; otherwise,…

Statistics