Little Quick Fix
- John MacInnes - University of Edinburgh, UK
Little Quick Fix
You can't get anywhere in your statistics course without grasping statistical significance. it's often seen as difficult but is actually a straightforward concept everyone can—and should—understand. Do your results mean something—or not? How can you measure it? Breaking it down into three building blocks, this Little Quick Fix shows students how to master:
- hypothesis testing
- normal distribution
- p values
Students will learn how to understand the concept and also how to explain it for maximum effect in their essays and lab reports. Good for results—this is also a secret weapon for critical thinking.
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—whatever their methods learning is.
- Lively, ultra-modern design; full-colour, each page a tailored design.
- An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs—quick.
- Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff.
- Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A
- DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor.
- Checkpoints in each section make sure students are nailing it as they go and support self-directed learning.
- How do I know I’m done? Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.
As it is stated that we can never be 100% sure about the validity of our data when conducting research but understanding p-values, confidence and significance and how they can describe how good the procedures used have been in getting the right kind of information to answer the research question or test the hypothesis is what reading this book makes possible. The importance of understanding the significance of statistics has never been more relevant and necessary. Highly recommended.