article thumbnail

Process and Types of Hypothesis Testing in Statistics

Pickl AI

Summary : Hypothesis testing in statistics is a systematic approach for evaluating population assumptions based on sample data. Introduction Hypothesis testing in statistics is a systematic method used to evaluate assumptions about a population based on sample data. For instance, a p-value of 0.03

article thumbnail

9 important plots in data science

Data Science Dojo

Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist. This plot is particularly useful for tasks like hypothesis testing, anomaly detection, and model evaluation.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What Is P-Value in Statistics?

Pickl AI

Summary: The p-value is a crucial statistical measure that quantifies the strength of evidence against the null hypothesis in hypothesis testing. A smaller p-value indicates stronger evidence for rejecting the null hypothesis, guiding researchers in making informed decisions. How P-Value is Used in Hypothesis Testing?

article thumbnail

Mastering Exploratory Data Analysis (EDA): A comprehensive guide

Data Science Dojo

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. The data analysis process enables analysts to gain insights into the data that can inform further analysis, modeling, and hypothesis testing. So, without any further ado let’s dive right in.

article thumbnail

Breaking Down the Central Limit Theorem: What You Need to Know

Towards AI

I have explained normal distribution in very simple words and with examples in the below blog. One of the most important applications is hypothesis testing. [I I am going to write a separate blog on hypothesis testing, but till then, you can refer attached link.]. you can refer to it for the introduction.

article thumbnail

Meet the Fellow: Aahlad Puli

NYU Center for Data Science

This entry is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS. Meet Aahlad Puli , who will join CDS this fall as a Faculty Fellow. He is partly supported by the Apple Scholars in AI/ML PhD fellowship.

article thumbnail

Essential types of data analysis methods and processes for business success

Data Science Dojo

 Data analysis methods are discussed in detail later in this blog. Diagnostic analytics includes methods such as hypothesis testing, determining a correlations v/s causation, and diagnostic regression analysis. Perform data analysis Data analysis includes several methods as described earlier.