## Standardization in Statistics with R

Standardization in statistics, when a dataset is standardized, all of the variables are scaled so that the mean is 0 and the standard deviation is 1. Standardization in Statistics In a data frame, there...

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# finnstats

## finnstats Blog

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Standardization in Statistics with R

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Time Series Trend Analysis in R

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How to calculate Scheffe’s Test in R

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How to Perform a Lack of Fit Test in R-Quick Guide

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Likelihood Ratio Test in R with Example

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How to calculate Whites Test in R

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Application of Bayes Theorem in R

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How to Perform Univariate Analysis in R

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Calculate Polychoric Correlation in R

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Calculate Confidence Intervals in R

Data Science Tutorials

Standardization in statistics, when a dataset is standardized, all of the variables are scaled so that the mean is 0 and the standard deviation is 1. Standardization in Statistics In a data frame, there...

Time series trend analysis, The Mann-Kendall Pattern Test is used to detect whether or not time series data has a trend. It’s a non-parametric test, which means there’s no underlying assumption about the data’s...

How to calculate Scheffes Test in R, A one-way ANOVA is used to check if there is a statistically significant difference between the means of three or more independent groups. If the aggregate p-value...

A lack of fit test is used to determine whether a full regression model fits a dataset significantly better than a reduced version of the model.

Consider the following regression model, which has four predictor variables.

Y = β0 + β1×1 + β2×2 + β3×3 + β4×4 + ε

A nested model is demonstrated by the following model, which contains only two of the original predictor variables.

Y = β0 + β1×1 + β2×2 + ε

We can use a Lack of Fit Test with the following null and alternative hypotheses to see if these two models differ significantly.

To read more click below link.

Likelihood Ratio Test in R, The likelihood-ratio test in statistics compares the goodness of fit of two nested regression models based on the ratio of their likelihoods, specifically one obtained by maximization over the...

Calculate White’s Test in R, The White test is a statistical test that determines whether the variance of errors in a regression model is constant, indicating homoscedasticity. Halbert White proposed this test, as well...

Application of Bayes Theorem, Bayes’ theorem describes the likelihood of an event occurring in relation to any condition. It is also considered in the case of conditional probability. Subscribe The Bayes theorem is sometimes...

Perform Univariate Analysis in R, In statistics, there are three different types of strategies for univariate data analysis. There are three types of analysis: univariate, bivariate, and multivariate. The term “univariate analysis” refers to...

Calculate Polychoric Correlation in R, The correlation between ordinal variables is calculated using polychoric correlation. Remember that ordinal variables are categorical possible values and natural order. Some of the common scales measured on an...

Calculate Confidence Intervals in R, A confidence interval is a set of values that, with a high degree of certainty, are likely to include a population parameter. Confidence intervals can be found all over...