“Once you understand the essential terminology statistics uses,  like “sample” and “data,” you can apply the terms to concepts used to interpret and manipulate the information. Keep an eye out for these statistical terms as you learn how to make inferences, read scatterplots, and find correlations.”

“The difficulty of college statistics depends on your history with mathematics and what level of statistics you choose to take. When choosing a math course in college, many students are faced with a choice between statistics, college algebra, or calculus. While the second two are abstract mathematics primarily dealing with the concepts and theories behind the subject as a whole, statistics tends to have more real-world applications. “

“Whether or not you find statistics difficult depends on your subject knowledge and strengths. If you’ve historically struggled in math, you may find the equations and data analysis challenging. At the same time, however, learning statistics is largely about applying math to real-world situations and there isn’t always only one right answer. If you’re able to think critically and consider what the data means beyond the numbers, you may actually find statistics easy to digest! “

“Statistics can be a complex field, filled with difficult techniques, concepts, and potential pitfalls. When learning how to interpret a statistical analysis, many students often find themselves overwhelmed and lost in the intricate details, making it challenging for them to draw meaningful conclusions from their findings. However, with the right approach and mindset, you can gain a deeper understanding of the data you obtain from statistical analysis and draw meaningful insights and conclusions.”

“The purpose of statistics is to turn real-life phenomena into data that can be analyzed, but motivations for learning statistics are varied. Some start learning statistics because of an academic requirement. Others learn statistics as part of a career in data analysis or research. Many careers require some statistical training because it enhances decision-making and working with data. Other people start learning statistics as part of their own personal development. “

“Statistical thinking starts with statistics. This guide gives practical suggestions to help you think about and apply statistical concepts and techniques. Whether you’re a beginner stuck on how to start your first project or a veteran who could use a refresher, these tips are for every statistician. “