Learn Entrepreneurship: Best Books, Blogs, & Podcasts

Learn Entrepreneurship: Best Books, Blogs, & Podcasts

Are you looking to break away from your current job and become your own boss? Do you already have a business idea in mind? Or are you still in the dreaming stage? Whether you already know what you’re passionate about and how to monetize it or you’re still brainstorming, we’ve got you covered. We’ve compiled a list of the best resources for entrepreneurs, including books, blogs, and podcasts.  Get inspired by success entrepreneurship stories, become an expert in business theory, and learn helpful tips from those who’ve already walked the path you are about to embark upon.

Inferential Statistics 101: Hypothesis Testing

Inferential Statistics 101: Hypothesis Testing

What is hypothesis testing? How do you know if a hypothesis is true? Hypothesis testing is an inferential statistical method by which we determine whether our tentative assumptions are true. Based on our statistical analyses, we can either accept these hypotheses as true or reject them as false with varying degrees of certainty.  Let’s look at the common conventions around inferential statistics and hypothesis testing.

Best Career Resources: Blogs, Books, & Podcasts

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Have you already decided what career path you want to pursue? Perhaps you’re considering a career change? Maybe you’re entertaining the idea of starting a second career?  When it comes to career development, the struggle is real. There are so many paths to choose from, especially in the age of knowledge work. Thankfully, there’s no shortage of resources available to help you navigate this journey.  Here are Shortfrom’s picks of the best career resources, including blogs, books, and podcasts. 

How Did the “Calories in, Calories Out” Myth Come About?

How Did the “Calories in, Calories Out” Myth Come About?

When did calorie counting come about? Do calories matter when it comes to weight loss? Calorie-counting as a method for monitoring weight loss has been around since the early 1900s. In the 1950s, early studies concluded that weight gain was the result of excess calories. Given this, researchers believed that dietary fat—a high-calorie food—causes weight gain. Here’s how the “calories in, calories out” myth came about and why it’s wrong.

Representative Sample: Definition and Methods

Representative Sample: Definition and Methods

What is sampling in research methodology? Why is having a representative sample important? Many research and survey projects rely on sampling as a way to learn about a larger population. Researchers aim to select samples that reflect the target population as closely as possible. Keep reading for the definition of a representative sample, why it’s important, and how to collect samples that are representative of the population in question.

Brianna Wiest: 101 Essays Book Overview

Brianna Wiest: 101 Essays Book Overview

What is Brianna Wiest’s 101 Essays That Will Change the Way You Think about? What is the key message to take away from the book? In 101 Essays That Will Change the Way You Think, Brianna Wiest explores the interplay between your thoughts, your perceptions, and the way you experience life. She explains how your thoughts influence the way you interpret life, why it’s so hard to control how you think, and what you can do to manage your thoughts and feelings about yourself and your experiences. Below is a brief overview of 101 Essays That Will Change the Way

Best Productivity Resources: Blogs, Books, & Podcasts

Best Productivity Resources: Blogs, Books, & Podcasts

Do you feel like you’re always doing something but barely getting anything done? In other words, are you busy but not productive?  It’s easy to fall into the trap of always being too busy with a never-ending to-do list, both at work and at home. Though you’re constantly multi-tasking and running to catch up with all of your chores and obligations, you never feel like you’re getting done enough. This is because being busy doesn’t mean you’re being productive.  If you want to level up your productivity game, we’ve got you covered with the best productivity resources to follow.

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.

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.

Effective Conflict Resolution Methods, Strategies, & Tips

Effective Conflict Resolution Methods, Strategies, & Tips

Why do people get embroiled in cyclical conflicts—both on a large and a small scale? Why do people often resist a resolution? Is a mutually beneficial resolution always possible?  We all struggle with conflicts, both on a smaller scale—in our businesses and families—and on a grand scale—politically and intergovernmentally. In all spheres of our lives, we see people embroiled in bitter, cyclical conflicts that appear to resist all efforts toward resolution. If we can learn how to handle conflicts more productively, our personal relationships and the world at large will be a better place.  In this article, we’ll discuss three