Statistics all-in-one / Deborah J Rumsey.

Format:

Book

Author/Creator:

Rumsey, Deborah J. (Deborah Jean), 1961- author.

Series:

--For dummies.

for dummies

Language:

English

Subjects (All):

Statistics.

Statistics--Problems, exercises, etc.

Physical Description:

1 online resource (563 pages)

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]

Summary:

The odds-on best way to master stats. Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you'll get access to online chapter quizzes and other resources that will turn you into a stats master. This book teaches you how to interpret graphs, determine probability, critique data, and so much more. Written by an expert author and serious statistics nerd, Statistics AIO For Dummies explains everything in terms anyone can understand. Get a grasp of basic statistics concepts required in every statistics course Clear up the process of interpreting graphs, understanding polls, and analyzing data Master correlation, regression, and other data analysis tools Score higher on stats tests and get a better grade in your high school or college class Statistics All-in-One For Dummies follows the curriculum of intro college statistics courses (including AP Stats!) so you can learn everything you need to know to get the grade you need--the Dummies way.

Contents:

Intro

Title Page

Copyright Page

Table of Contents

Introduction

About This Book

Foolish Assumptions

Icons Used in This Book

Beyond the Book

Where to Go from Here

Unit 1 Getting Started with Statistics

Chapter 1 The Statistics of Everyday Life

Statistics and the Media: More Questions than Answers?

Probing popcorn problems

Venturing into viruses

Comprehending crashes

Mulling malpractice

Belaboring the loss of land

Scrutinizing schools

Scanning sports

Banking on business news

Touring the travel news

Surveying sexual stats

Breaking down weather reports

Using Statistics at Work

Delivering babies - and information

Posing for pictures

Poking through pizza data

Statistics in the office

Chapter 2 Taking Control: So Many Numbers, So Little Time

Detecting Errors, Exaggerations, and Just Plain Lies

Checking the math

Uncovering misleading statistics

Breaking down statistical debates

Untwisting tornado statistics

Zeroing in on what the scale tells you

Checking your sources

Counting on sample size

Considering cause and effect

Finding what you want to find

Looking for lies in all the right places

Feeling the Impact of Misleading Statistics

Chapter 3 Tools of the Trade

Thriving in a Statistical World

Statistics: More than Just Numbers

Designing Appropriate Studies

Surveys (Polls)

Experiments

Treatment group versus control group

Placebo

Blind and double-blind

Collecting Quality Data

Sample, random, or otherwise

Bias

Grabbing Some Basic Statistical Jargon

Data

Data set

Variable

Population

Statistic

Parameter

Mean (Average)

Median

Standard deviation

Percentile

Standard score

Distribution and normal distribution

Central Limit Theorem

z-values

Margin of error.

Confidence interval

Hypothesis testing

p-values

Statistical significance

Correlation, regression, and two-way tables

Drawing Credible Conclusions

Reeling in overstated results

Questioning claims of cause and effect

Becoming a Sleuth, Not a Skeptic

Unit 2 Number-Crunching Basics

Chapter 4 Crunching Categorical Data

Summing Up Data with Descriptive Statistics

Crunching Categorical Data: Tables and Percents

Counting on the frequency

Relating with percentages

Two-way tables: Summarizing multiple measures

Interpreting counts and percents with caution

Practice Questions Answers and Explanations

Whaddya Know? Chapter 4 Quiz

Answers to Chapter 4 Quiz

Chapter 5 Means, Medians, and More

Measuring the Center with Mean and Median

Averaging out to the mean

Splitting your data down the median

Comparing means and medians: Histograms

Accounting for Variation

Reporting the standard deviation

Calculating standard deviation

Interpreting standard deviation

Understanding properties of standard deviation

Lobbying for standard deviation

Being out of range

Examining the Empirical Rule (68-95-99.7)

Measuring Relative Standing with Percentiles

Calculating percentiles

Interpreting percentiles

Comparing household incomes

Examining ACT Scores

Gathering a five-number summary

Exploring interquartile range

Whaddya Know? Chapter 5 Quiz

Answers to Chapter 5 Quiz

Chapter 6 Getting the Picture: Graphing Categorical Data

Take Another Little Piece of My Pie Chart

Tallying personal expenses

Bringing in a lotto revenue

Ordering takeout

Projecting age trends

Raising the Bar on Bar Graphs

Tracking transportation expenses

Making a lotto profit

Tipping the scales on a bar graph.

Pondering pet peeves

Whaddya Know? Chapter 6 Quiz

Answers to Chapter 6 Quiz

Chapter 7 Going by the Numbers: Graphing Numerical Data

Handling Histograms

Making a histogram

An award-winning example

Creating appropriate groups

Handling borderline values

Clarifying the axes

Interpreting a histogram

Checking out the shape of the data

Measuring center: Mean versus median

Viewing variability: Amount of spread around the mean

Putting numbers with pictures

Detecting misleading histograms

Missing the mark with too few groups

Watching the scale and start/finish lines

Examining Boxplots

Making a boxplot

Interpreting a boxplot

Checking the shape with caution!

Measuring variability with IQR

Picking out the center using the median

Investigating Old Faithful's boxplot

Denoting outliers

Making mistakes when interpreting a boxplot

Tackling Time Charts

Interpreting time charts

Understanding variability: Time charts versus histograms

Spotting misleading time charts

Watching the scale and start/end points

Simplifying excess data

Whaddya Know? Chapter 7 Quiz

Answers to Chapter 7 Quiz

Unit 3 Distributions and the Central Limit Theorem

Chapter 8 Coming to Terms with Probability

A Set Notation Overview

Noting outcomes: Sample spaces

Finite sample spaces

Countably infinite sample spaces

Uncountably infinite sample spaces

Noting subsets of sample spaces: Events

Noting a void in the set: Empty sets

Putting sets together: Unions, intersections, and complements

Unions

Intersections

Complements

Probabilities of Events Involving A and/or B

Probability notation

Marginal probabilities

Union probabilities

Intersection (joint) probabilities.

Complement probabilities

Conditional probabilities

Solving conditional probabilities without a formula

Solving conditional probabilities with a formula

Understanding and Applying the Rules of Probability

The complement rule (for opposites, not for flattering a date)

The multiplication rule (for intersections, not for rabbits)

The addition rule (for unions of the nonmarital nature)

Recognizing Independence in Multiple Events

Checking independence for two events with the definition

Using the multiplication rule for independent events

Including Mutually Exclusive Events

Recognizing mutually exclusive events

Simplifying the addition rule with mutually exclusive events

Distinguishing Independent from Mutually Exclusive Events

Comparing and contrasting independence and exclusivity

Checking for independence or exclusivity in a 52-card deck

Avoiding Probability Misconceptions

Predictions Using Probability

Whaddya Know? Chapter 8 Quiz

Answers to Chapter 8 Quiz

Chapter 9 Random Variables and the Binomial Distribution

Defining a Random Variable

Discrete versus continuous

Probability distributions

The mean and variance of a discrete random variable

Identifying a Binomial

Checking binomial conditions step by step

No fixed number of trials

More than success or failure

Trials are not independent

Probability of success (p) changes

Finding Binomial Probabilities Using a Formula

Finding Probabilities Using the Binomial Table

Finding probabilities for specific values of X

Finding probabilities for X greater-than, less-than, or between two values

Checking Out the Mean and Standard Deviation of the Binomial

Whaddya Know? Chapter 9 Quiz

Answers to Chapter 9 Quiz.

Chapter 10 The Normal Distribution

Exploring the Basics of the Normal Distribution

Meeting the Standard Normal (Z-) Distribution

Checking out Z

Standardizing from X to Z

Finding probabilities for Z with the Z-table

Finding Probabilities for a Normal Distribution

Knowing Where You Stand with Percentiles

Finding X When You Know the Percent

Figuring out a percentile for a normal distribution

Doing a low percentile problem

Working with a higher percentile

Translating tricky wording in percentile problems

Normal Approximation to the Binomial

Whaddya Know? Chapter 10 Quiz

Answers to Chapter 10 Quiz

Chapter 11 The t-Distribution

Basics of the t-Distribution

Comparing the t- and Z-distributions

Discovering the effect of variability on t-distributions

Using the t-Table

Finding probabilities with the t-table

Figuring percentiles for the t-distribution

Picking out t*-values for confidence intervals

Studying Behavior Using the t-Table

Whaddya Know? Chapter 11 Quiz

Answers to Chapter 11 Quiz

Chapter 12 Sampling Distributions and the Central Limit Theorem

Defining a Sampling Distribution

The Mean of a Sampling Distribution

Measuring Standard Error

Sample size and standard error

Population standard deviation and standard error

Looking at the Shape of a Sampling Distribution

Case 1: The distribution of X is normal

Case 2: The distribution of X is not normal - Enter the Central Limit Theorem

Averaging a fair die is approximately normal

Averaging an unfair die is still approximately normal

Clarifying three major points about the Central Limit Theorem

Finding Probabilities for the Sample Mean

The Sampling Distribution of the Sample Proportion.

Finding Probabilities for the Sample Proportion.

Notes:

Includes index.

Description based on print version record.

ISBN:

1-119-90258-4

1-119-90257-6

OCLC:

1351939501