Statistical Significance: Little Quick Fix

Statistical significance is a crucial concept in statistics that everyone can understand. This Little Quick Fix provides students with a three-building block approach to mastering hypothesis testing, normal distribution, and p values. It is designed to help students understand the concept and explain it effectively in their essays and lab reports, as well as improve their critical thinking skills. With a lively, ultra-modern design, clear navigation, and direct written style, it is an hour's read and can be dipped in and out of as needed. Learning is reinforced through 2-minute overview summaries, 3-second summaries with super-quick Q&A, DIY tasks, and checkpoints in each section. The final checklist allows readers to self-assess and progress, submit, or ace the test or task.

Format: Paperback / softback
Length: 124 pages
Publication date: 11 February 2019
Publisher: SAGE Publications Ltd

Statistics is an essential component of any statistics course, and it is often perceived as a complex concept that requires a deep understanding. However, in reality, statistical significance is a straightforward concept that everyone can grasp. It is all about determining whether your results mean something or not. In this Little Quick Fix, we will break down statistical significance into three building blocks: hypothesis testing, normal distribution, and p values.

Hypothesis testing is the process of testing a hypothesis to determine whether it is true or false. It involves forming an educated guess about the relationship between two variables and then conducting an experiment to test whether the guess is correct. The null hypothesis is the default assumption that there is no relationship between the two variables, and the alternative hypothesis is the opposite of the null hypothesis. If the experiment results in a p-value less than the significance level, then the null hypothesis is rejected, and the alternative hypothesis is accepted.

Normal distribution is a statistical distribution that is often used to describe data that is symmetrical and bell-shaped. It is characterized by a mean (average) and a standard deviation (a measure of how spread out the data is). The normal distribution is important because it allows us to make predictions about the distribution of data based on a small sample size.

P values are a measure of the probability of observing a statistical result that is as extreme as the one that was observed, assuming that the null hypothesis is true. They are used to determine whether the observed results are statistically significant. A p-value of less than 0.05 is generally considered to be statistically significant, meaning that there is a 95% probability that the observed results would have occurred by chance if the null hypothesis were true.

By understanding these three building blocks, students will be able to master hypothesis testing, normal distribution, and p values. They will learn how to understand the concept and also how to explain it for maximum effect in their essays and lab reports. This knowledge is not only useful for obtaining good results but also for developing critical thinking skills.

Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design, regardless of their learning methods. The lively, ultra-modern design features full-colour pages with tailored designs, making it an hour's read. The clear navigation enables the reader to find what they need quickly, with direct written style that gets to the point with clear language. There is no need to read anything twice, and no fluff is included.

Learning is reinforced through a 2-minute overview summary, 3-second summaries with super-quick Q&A DIY tasks, and checkpoints in each section that make sure students are nailing it as they go. Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess whether they have what they need to progress, submit, or ace the test or task.

In conclusion, statistical significance is a straightforward concept that everyone can grasp. By understanding hypothesis testing, normal distribution, and p values, students can master this concept and apply it to their essays and lab reports. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design, and the lively, ultra-modern design features full-colour pages with tailored designs. The clear navigation enables the reader to find what they need quickly, with direct written style that gets to the point with clear language. Learning is reinforced through a 2-minute overview summary, 3-second summaries with super-quick Q&A DIY tasks, and checkpoints in each section that make sure students are nailing it as they go. Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess whether they have what they need to progress, submit, or ace the test or task.

Weight: 140g
Dimension: 180 x 133 x 7 (mm)
ISBN-13: 9781526466785