What Is a Null Hypothesis in Statistics?

What Is a Null Hypothesis in Statistics?

What is the null hypothesis in statistics? What does accepting a null hypothesis tell us about the relationship between two variables? When we use inferential statistics to answer a question, we begin with a null hypothesis. A null hypothesis assumes a relationship between two variables that we’ll accept or reject. If the null hypothesis is rejected, we accept the alternative hypothesis, which is the logical inverse of the null hypothesis. Keep reading to learn about the null hypothesis, why we use it, and what accepting/rejecting it can tell us about data.

Everybody Lies: Book Overview and Takeaways

Everybody Lies: Book Overview and Takeaways

What is the book Everybody Lies about? What should you take away from the book? In Everybody Lies, Seth Stephens-Davidowitz argues that people willingly confess all of their secrets in their Google searches and other web activity. This information can be found through big data and can be used for the greater good. Read below for a brief overview of the book Everybody Lies by Seth Stephens-Davidowitz.

1 Essential Team Motivation Idea That Works Long-Term

1 Essential Team Motivation Idea That Works Long-Term

What team motivation ideas work the best? How do you foster long-lasting motivation in a team? Find Your Why author Simon Sinek says your energy and commitment to your purpose are contagious, so having clarity on it helps you pitch your ideas in a way that’s more authentic and enticing to others. By holding a purpose discussion to find your team’s common purpose, you can achieve long-term team motivation, according to Sinek. Read on to learn Sinek’s team motivation idea for creating long-term motivation through purpose discussions.

Dealing With Unhealthy Competition in the Workplace

Dealing With Unhealthy Competition in the Workplace

Is your organization rife with ladder-climbing sharks? Are people working together or against each other? According to Tribal Leadership, Stage 3 is the most common work culture, and it’s where most professionals spend much of their careers. Stage 3 features shark-like competition, office politics, and high-powered professionals striving to dominate their workplaces. Authors Dave Logan, Halee Fischer-Wright, and John King explain how to determine whether your organization is in Stage 3 and how to progress to Stage 4. Keep reading to understand unhealthy competition in the workplace and to learn how to move your organization beyond it.

The True Importance of Trust in the Workplace

The True Importance of Trust in the Workplace

What is the importance of trust in the workplace? How do high- or low-trust relationships affect your work? In The Speed of Trust, author Stephen Covey examines all the ways trust impacts your life, from personal to professional relationships. Covey believes trust is your most valuable asset, and losing or gaining trust in the workplace has a real impact on your career. Read on to learn the true importance of trust in the workplace, according to Covey.

Type I and Type II Errors in Hypothesis Testing

The Millionaire Next Door Formula for Net Worth

What are Type I and Type II errors in hypothesis testing? How can you minimize your chances of accepting a wrong hypothesis? Type I and Type II errors both relate to the result of the null hypothesis. A Type I error occurs when the null hypothesis is mistakenly rejected, whereas a Type II error occurs when the null hypothesis is mistakenly accepted. Keep reading to learn about the difference between a Type I and a Type II error, and how to reduce your chances of making both.