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Category: Statistics

Autocorrelation and Partial Autocorrelation in Time Series

Posted on November 30November 30 By Jim No Comments on Autocorrelation and Partial Autocorrelation in Time Series
Autocorrelation and Partial Autocorrelation in Time Series
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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…

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Cross-validation in Machine Learning

Posted on November 17November 17 By Jim No Comments on Cross-validation in Machine Learning
Cross-validation in Machine Learning
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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…

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Statistics

How to Analyze Likert Scale Data?

Posted on November 16November 16 By Jim No Comments on How to Analyze Likert Scale Data?
How to Analyze Likert Scale Data?
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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…

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Statistical test assumptions and requirements

Posted on May 8May 12 By Jim No Comments on Statistical test assumptions and requirements
Statistical test assumptions and requirements
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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…

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What is Ad Hoc Analysis?

Posted on May 7May 12 By Jim No Comments on What is Ad Hoc Analysis?
What is Ad Hoc Analysis?
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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

Posted on May 7May 12 By Jim No Comments on Similarity Measure Between Two Populations-Brunner Munzel Test
Similarity Measure Between Two Populations-Brunner Munzel Test
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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…

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Rejection Region in Hypothesis Testing

Posted on May 7May 12 By Jim No Comments on Rejection Region in Hypothesis Testing
Rejection Region in Hypothesis Testing
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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…

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Hypothesis Testing Examples-Quick Overview

Posted on May 7May 12 By Jim No Comments on Hypothesis Testing Examples-Quick Overview
Hypothesis Testing Examples-Quick Overview
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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…

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Statistics

Descriptive statistics vs Inferential statistics: Guide

Posted on April 25April 30 By Jim No Comments on Descriptive statistics vs Inferential statistics: Guide
Descriptive statistics vs Inferential statistics: Guide
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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…

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Statistics

Control Chart in Quality Control-Quick Guide

Posted on April 23April 30 By Jim No Comments on Control Chart in Quality Control-Quick Guide
Control Chart in Quality Control-Quick Guide
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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,…

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