Statistics 101

From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics

David Borman

• Verlag: Adams Media
• Jahr: 2018
• ISBN:
  9781507208182
• Thema: Matemáticas
• Thema: Probabilidad y estadística

A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we're responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice.Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.

INDEX

A note about the index: The pages referenced in this index refer to the page numbers in the print edition. Clicking on a page number will take you to the ebook location that corresponds to the beginning of that page in the print edition. For a comprehensive list of locations of any word or phrase, use your reading system’s search function.

A

Academic research, 12–13, 52–53, 131–33, 138–40, 168–70, 173–79. See also Test scores study

Advertising research, 10–11, 34–36, 177. See also Marketing studies

Analytics

descriptive analytics, 15, 17–20

ethics of, 215–18

inferential analytics, 20–22

object of, 19

statistical analytics, 19–22

types of, 19–22

ANOVA (analysis of variance). See also Variance

basics of, 197–99

hypothesis testing and, 198, 200–201

one-way analysis, 200–201

results from, 21–22, 186, 197–99

test for, 186, 197–201

t-test and, 198

Artificial intelligence, 219

B

Back testing, 179

Ball bearings study, 40, 196

Bar charts, 36, 41, 43–44, 125

Bell curves

chi-square distribution and, 191–92

confidence intervals and, 170

data collection and, 119–21, 129

empirical rule and, 100–101

explanation of, 45

groups of data and, 166–67

hypothesis testing and, 136

inverted bell, 124

normal distribution and, 98–105, 191

observations and, ...