Course Number: STAT-102
Duration: 2 days (13 hours)
Format: Live, hands-on

## Statistics Training Overview

Accelebrate's Introduction to Business Statistics training course teaches participants how to calculate appropriate statistical measures, apply statistical procedures, and recognize key data pitfalls to effectively communicate analytical conclusions to stakeholders.

## Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, instructor-led training from one of our partners.

## Objectives

• Choose appropriate measures to use in a given situation and calculate using Excel
• Consider data gathering methods, bias, and error
• Interpret the results and conclusions of statistical analysis
• Recognize key pitfalls be aware of and avoid
• Visualize and communicate the results in a fair, objective, and unbiased manner

## Prerequisites

All students should have prior experience working with data visualization and corporate reporting.

## Outline

Introduction
Overview of using data analysis and statistics for effective decision-making
Installing the Data Analysis Tool Pack add-in for Excel
Exploring and visualizing data
• Types of variables
• Choosing chart types
• Formatting best practices
Descriptive statistics
• Real-world uses for specific measures and how to visualize
• Samples vs. populations
• Measures of Central Tendency
• Measures of variation and position
• Looking at the shape of the data and the impact of outliers
• Cautions and common pitfalls (e.g. Anscombe’s Quartet)
• Dealing with bad data and ensuring it’s reliable for good decisions
Probability
• Overview
• Applications
• Cautions and fallacies
Inference for a Population
• Sampling
• Methods
• Bias
• Error
• Sampling distribution for the mean
• Central Limit Theorem
• Confidence Intervals
Regression
• Correlation
• Linear Regression
• When to use it
• How to interpret output meaningfully
Conclusion

## Software Requirements

• Microsoft Excel
• Internet access
• Related data and lab files that Accelebrate will provide

###### Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

###### Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

###### Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

###### Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders

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