# Tag Archives: Python-scipy

Kruskal-Wallis test is a non-parametric test and an alternative to One-Way Anova. By parametric we mean, the data is not assumed to become from a… Read More
In probability and statistics, we tend to compute a lot of different numbers, the job doesn’t end there, it is highly essential to statistically interpret… Read More
One-Way ANOVA in Python: One-way ANOVA (also known as “analysis of variance”) is a test that is used to find out whether there exists a… Read More
A probability Distribution represents the predicted outcomes of various values for a given data. Probability distributions occur in a variety of forms and sizes, each… Read More
A matrix usually consists of a combination of zeros and non-zeros. When a matrix is comprised mostly of zeros, then such a matrix is called… Read More
Nemenyi Test: The Friedman Test is used to find whether there exists a significant difference between the means of more than two groups. In such… Read More
Cramer’s V: It is defined as the measurement of length between two given nominal variables. A nominal variable is a type of data measurement scale… Read More
Paired sample T-test: This test is also known as the dependent sample t-test. It is a statistical concept and is used to check whether the… Read More
In this article, we will be looking at the approach to performing an F-Test in the python programming language. The scipy stats.f() function in Python… Read More
In this article, we will be looking at the different ways to calculate confidence intervals using various distributions in the Python programming language. Confidence interval… Read More
Fisher’s exact test is a statistical test that determines if two category variables have non-random connections or we can say it’s used to check whether… Read More
T-score: T-score is defined as the count of standard deviations from the mean data of a t-distribution. In simple words, it is defined as the… Read More
Anderson-Darling test: Its full name is Anderson-Darling Goodness of Fit Test (AD-Test) and it is used to measure the extent to which our data fits… Read More
This article focuses on determining the Z-critical value in Python. When we conduct a hypothesis test, we get a test statistic as an outcome. In… Read More
Welch’s t-Test: Two sample t-Test is used to compare the means of two different independent datasets. But we can apply a Two-Sample T-Test on those… Read More