# Tag Archives: Python-scipy

In this post, we are going to learn how to solve differential equations with odeint function of scipy module in Python. ODE stands for Ordinaryâ€¦ Read More
Kruskal-Wallis test is a non-parametric test and an alternative to One-Way Anova. By non-parametric we mean, the data is not assumed to become from aâ€¦ 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 interpretâ€¦ 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 aâ€¦ 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, eachâ€¦ 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 calledâ€¦ 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 suchâ€¦ 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 scaleâ€¦ 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 theâ€¦ 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 Pythonâ€¦ 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 intervalâ€¦ 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 whetherâ€¦ 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 theâ€¦ 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 fitsâ€¦ 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. Inâ€¦ Read More