The World's Best Book Summaries
Does meat make you fat? How does eating meat contribute to weight gain? When it comes to meat’s fattening potential, there seems to be a division of opinion, even amongst scientists. Some say that meat (especially, lean meat such as chicken breast) is great for weight loss because it contains no carbs. Others say that eating meat is associated with weight gain. Here’s what Dr. Jason Fung says on the matter.
What is Charles Wheelan’s Naked Statistics about? What statistics does Wheelan explore in the book? Naked Statistics puts the math behind statistics into digestible terms and explains statistics concepts with relatable, relevant, and even humorous examples. Readers also benefit from additional socio-political insight from the book, as Wheelan uses real-world anecdotes to explore how statistics can inform collective decision-making. Below is a brief overview of the key themes and concepts from Wheelan’s Naked Statistics.
What is significance in statistics? What does “statistically significant” mean? In statistics, significance refers to the degree of confidence or certainty in the results of a statistical analysis being attributable to a specific cause. When results are said to be “statistically significant,” the observed relationship between variables is unlikely to be due to chance. Keep reading to learn about the concept of statistical significance, explained in simple terms.
Why is reliability important in data collection? What are the main challenges inherent in collecting reliable data? As we use statistical data to inform our lives and society, we need them to be both accurate and precise. Therefore, collecting quality data is the true challenge and art of producing reliable, constructive statistics. Keep reading to learn about the importance of reliability in data collection.
What is the main function of the hormone insulin? What happens when your insulin stops functioning properly? Insulin is a hormone, a molecule that transmits “messages” within your body. Its function is to deliver glucose to cells to use for energy and take the excess glucose to the liver. Learn about the role of insulin in the body and what happens when it stops working as intended.
What is the central limit theorem in statistics? What can the central limit theorem tell us about the distribution of the sample mean? The central limit theorem states that the mean of a representative sample will be close to the mean of the larger population. Therefore, we can confidently make inferences about a population from a sample or about a sample from a population, and we can compare samples to each other. Let’s explore each of these general applications of inferential statistics with an example.
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.
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.
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.
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.