如何在Python中进行一样本T检验？
介绍
One Sample T-Test是一种统计假设检验，用于确定总体均值是否与假设值显著不同。Python为我们提供了进行这个检验所需的资源。在本文中，我们将介绍如何使用SciPy库在Python中进行一样本T检验。
进行一样本T检验
在进行单样本T检验的第一步是陈述零假设和备择假设。零假设是假设总体均值等于假设值。备择假设是零假设的相反假设，即总体均值不等于假设值。
Assuming that we have a set of data and a hypothesized value for the population mean, we can perform a One Sample T-Test to determine whether the population mean is significantly different from the hypothesized value. Here are the steps to conduct a One Sample T-Test in Python using the SciPy library −
步骤1：导入所需的库
Importing the essential libraries will be the first step. To perform the One Sample T-Test in Python, we need to import the NumPy and SciPy libraries. While statistical operations are carried out using the SciPy library, mathematical operations are carried out using the NumPy library.
import numpy as np from scipy.stats import ttest_1samp 登录后复制
