**Statistical functions** in Excel are essential tools for analyzing data to uncover underlying **patterns and trends**. 

These functions help in making informed decisions based on **quantitative data analysis**.

# Task

Let's get some hands-on practice with these functions. Here's what you need to do:

- Determine the average **Total Sales** for **Electronics** in **New York**.
- Calculate the standard deviation of the **Total Sales** population.

What is the average Total Sales for Electronics in New York that you calculated? (select the nearest number)

What is the standard deviation of the Total Sales population that you calculated? (select the nearest number)

Data Analysis with Excel provides a practical guide to mastering the most essential data management, manipulation, and analysis techniques using Microsoft Excel. You'll gain proficiency in Excel's powerful capabilities, progressing through data analysis methods, and creating dynamic visualizations and interactive dashboards. By the end, you'll learn to automate reporting and apply advanced analytics, equipping you to make informed, data-driven decisions efficiently.

Learn how to import, clean, and transform data with advanced Excel functions to prepare datasets for in-depth analysis. Master techniques to navigate complex data with lookup functions.

Delve into the core of Excel's analytical power by mastering conditional analyses, statistical functions, and PivotTables. This section teaches you how to extract meaningful insights from large datasets using a variety of analytical tools.

Gain the skills to create statistical charts to build interactive dashboards that communicate data visually. Learn to automate repetitive tasks and generate reports efficiently, enhancing productivity and data interaction.

It covers correlation analysis to determine relationships between variables using Pearson’s correlation coefficient, linear regression to explore variable relationships, the addition of trendlines for pattern analysis in forecasting, and the use of t-tests and z-tests in hypothesis testing to evaluate statistical significance.

Data Analysis with Excel

Statistical Functions

Task