# Tag Archives: Python numpy-Statistics Functions

If in ANOVA test we come to a conclusion that we have to reject our null hypothesis(H0) and then we know that some treatment or… Read More
Winsorization is the process of replacing the extreme values of statistical data in order to limit the effect of the outliers on the calculations or… Read More
In this article, we will discuss how to compute the median of the flattened array. Median is basically that value that separates the lower half… Read More
In NumPy, We can compute pearson product-moment correlation coefficients of two given arrays with the help of numpy.corrcoef() function. In this function, we will pass… Read More
In this article, we will see the program for creating an array of elements in which every element is the average of every consecutive subarrays… Read More
We can find out the mean of each row and column of 2d array using numpy with the function np.mean(). Here we have to provide… Read More
Numpy in Python is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the… Read More
In NumPy for computing the covariance matrix of two given arrays with help of numpy.cov(). In this, we will pass the two arrays and it… Read More
In NumPy, we can compute the mean, standard deviation, and variance of a given array along the second axis by two approaches first is by… Read More
NumPy is a Python library used for numerical computing. It offers robust multidimensional arrays as a Python object along with a variety of mathematical functions.… Read More
Coefficient of determination also called as R2 score is used to evaluate the performance of a linear regression model. It is the amount of the… Read More
numpy.nanstd() function compute the standard deviation along the specified axis, while ignoring NaNs. Syntax : numpy.nanstd(arr, axis = None, dtype = None, out = None,… Read More
What is correlation test? The strength of the association between two variables is known as the correlation test. For instance, if we are interested to… Read More
numpy.nanmean() function can be used to calculate the mean of array ignoring the NaN value. If array have NaN value and we can find out… Read More
Covariance provides the a measure of strength of correlation between two variable or more set of variables. The covariance matrix element Cij is the covariance… Read More