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دانلود کتاب Statistics All-in-One

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Statistics All-in-One

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Statistics All-in-One

ویرایش: [1 ed.] 
نویسندگان:   
سری: For Dummies 
ISBN (شابک) : 1119902568, 9781119902584 
ناشر: Wiley 
سال نشر: 2022 
تعداد صفحات: 560
[563] 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 21 Mb 

قیمت کتاب (تومان) : 39,000



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توضیحاتی در مورد کتاب آمار همه در یک

شانس بهترین راه برای تسلط بر آمار. Statistics All-in-One For Dummies مملو از درس ها، مثال ها و مشکلات تمرینی است که به شما کمک می کند دوره آمار خود را از بین ببرید. با توضیحات آسان (حتی سرگرم کننده) مفاهیم کلیدی، اعتماد و درک را در آمار ایجاد کنید. به علاوه، به آزمون‌های فصل آنلاین و منابع دیگری دسترسی خواهید داشت که شما را به یک استاد آمار تبدیل می‌کند. این کتاب به شما می آموزد که چگونه نمودارها را تفسیر کنید، احتمال را تعیین کنید، داده ها را نقد کنید و خیلی چیزهای دیگر. Statistics AIO For Dummies که توسط یک نویسنده متخصص و یک متخصص آمار جدی نوشته شده است، همه چیز را با شرایطی که هر کسی می تواند بفهمد توضیح می دهد. • مفاهیم اولیه آمار مورد نیاز در هر دوره آمار را درک کنید • فرآیند تفسیر نمودارها، درک نظرسنجی ها و تجزیه و تحلیل داده ها را پاکسازی کنید • همبستگی، رگرسیون، و سایر ابزارهای تجزیه و تحلیل داده ها • در آزمون های آماری امتیاز بیشتری کسب کنید و در کلاس دبیرستان یا کالج نمره بهتری بگیرید Statistics All-in-One For Dummies از برنامه درسی دوره های آمار کالج (شامل آمار AP!) پیروی می کند، بنابراین می توانید همه چیزهایی را که برای بدست آوردن نمره لازم می دانید - به روش Dummies - بیاموزید.


توضیحاتی درمورد کتاب به خارجی

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.



فهرست مطالب

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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		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
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 12 Quiz
		Answers to Chapter 12 Quiz
Unit 4 Guesstimating and Hypothesizing with Confidence
	Chapter 13 Leaving Room for a Margin of Error
		Seeing the Importance of that Plus or Minus
		Finding the Margin of Error: A General Formula
			Measuring sample variability
			Calculating margin of error for a sample proportion
			Reporting results
			Calculating margin of error for a sample mean
			Being confident you’re right
		Determining the Impact of Sample Size
			Sample size and margin of error
			Bigger isn’t always (that much) better!
			Keeping margin of error in perspective
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 13 Quiz
		Answers to Chapter 13 Quiz
	Chapter 14 Confidence Intervals: Making Your Best Guesstimate
		Not All Estimates Are Created Equal
		Linking a Statistic to a Parameter
		Getting with the Jargon
		Interpreting Results with Confidence
		Zooming In on Width
		Choosing a Confidence Level
		Factoring In the Sample Size
		Counting On Population Variability
		Calculating a Confidence Interval for a Population Mean
			Case 1: Population standard deviation is known
			Case 2: Population standard deviation is unknown and/or n is small
		Figuring Out What Sample Size You Need
		Determining the Confidence Interval for One Population Proportion
		Creating a Confidence Interval for the Difference of Two Means
			Case 1: Population standard deviations are known
			Case 2: Population standard deviations are unknown and/or sample sizes are small
		Estimating the Difference of Two Proportions
		Spotting Misleading Confidence Intervals
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 14 Quiz
		Answers to Chapter 14 Quiz
	Chapter 15 Claims, Tests, and Conclusions
		Setting Up the Hypotheses
			Defining the null
			What’s the alternative?
		Gathering Good Evidence (Data)
		Compiling the Evidence: The Test Statistic
			Gathering sample statistics
			Measuring variability using standard errors
			Understanding standard scores
			Calculating and interpreting the test statistic
		Weighing the Evidence and Making Decisions: p-Values
			Connecting test statistics and p-values
			Defining a p-value
			Calculating a p-value
		Making Conclusions
			Setting boundaries for rejecting 
			Testing varicose veins
		Assessing the Chance of a Wrong Decision
			Making a false alarm: Type I errors
			Missing out on a detection: Type II errors
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 15 Quiz
		Answers to Chapter 15 Quiz
	Chapter 16 Commonly Used Hypothesis Tests: Formulas and Examples
		Testing One Population Mean
		Handling Small Samples and Unknown Standard Deviations: The t-Test
			Putting the t-test to work
			Relating t to Z
			Handling negative t-values
			Examining the not-equal-to alternative
			Drawing conclusions using the critical value
		Testing One Population Proportion
		Comparing Two (Independent) Population Averages
			Case 1: Difference of two population means when population standard deviations are known
			Case 2: Difference of two population means when population standard deviations are unknown
		Testing for an Average Difference (The Paired t-Test)
		Comparing Two Population Proportions
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 16 Quiz
		Answers to Chapter 16 Quiz
Unit 5 Statistical Studies and the Hunt for a Meaningful Relationship
	Chapter 17 Polls, Polls, and More Polls
		Recognizing the Impact of Polls
			Getting to the source
			Surveying what’s hot
			Impacting lives
		Behind the Scenes: The Ins and Outs of Surveys
			Planning and designing a survey
				Clarifying the purpose of your survey
				Defining the target population
				Choosing the type and timing of the survey
				Designing the introduction with ethics in mind
				Formulating the questions
			Selecting the sample
				A good sample represents the target population
				A good sample is selected randomly
				A good sample is large enough for the results to be accurate
			Carrying out a survey
				Collecting the data
				Following up, following up, and following up
			Interpreting results and finding problems
				Organizing and analyzing
				Drawing conclusions
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 17 Quiz
		Answers to Chapter 17 Quiz
	Chapter 18 Experiments and Observational Studies: Medical Breakthroughs or Misleading Results?
		Boiling Down the Basics of Studies
			Looking at the lingo of studies
			Observing observational studies
			Examining experiments
		Designing a Good Experiment
			Designing the experiment to make comparisons
				Fake treatments — the placebo effect
				Standard treatments
				No treatment
			Selecting the sample size
				Limiting small samples to small conclusions
				Defining sample size
			Choosing the subjects
			Making random assignments
			Controlling for confounding variables
			Respecting ethical issues
			Collecting good data
			Analyzing the data properly
		Interpreting Experiment Results
			Making appropriate conclusions
				Overstating the results
				Taking the results one step beyond the actual data
				Generalizing results to people beyond the scope of the study
			Making informed decisions
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 18 Quiz
		Answers to Chapter 18 Quiz
	Chapter 19 Looking for Links: Correlation and Regression
		Picturing a Relationship with a Scatterplot
			Making a scatterplot
			Interpreting a scatterplot
		Quantifying Linear Relationships Using the Correlation
			Calculating the correlation
			Interpreting the correlation
			Examining properties of the correlation
		Working with Linear Regression
			Figuring out which variable is X and which is Y
			Checking the conditions
			Calculating the regression line
				Finding the slope
				Finding the y-intercept
			Interpreting the regression line
				Interpreting the slope
				Interpreting the y-intercept
			Putting it all together: The regression line for the crickets
		Making Proper Predictions
			Checking the conditions
			Staying in-bounds
		Regression Analysis: Understanding the Output
		Residing with Residuals
		Explaining the Relationship: Correlation versus Cause and Effect
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 19 Quiz
		Answers to Chapter 19 Quiz
	Chapter 20 Two-Way Tables and Independence
		Organizing a Two-Way Table
		Setting up the cells
		Figuring the totals
		Interpreting Two-Way Tables
			Singling out variables with marginal distributions
				Calculating marginal distributions
				Graphing marginal distributions
			Examining all groups — a joint distribution
				Calculating joint distributions
				Graphing joint distributions
			Comparing groups with conditional distributions
				Calculating conditional distributions
				Graphing conditional distributions
		Checking Independence and Describing Dependence
			Checking for independence
				Comparing the results of two conditional distributions
				Comparing marginal and conditional to check for independence
			Describing a dependent relationship
		Cautiously Interpreting Results
			Checking for legitimate cause and effect
			Projecting from sample to population
			Making prudent predictions
			Resisting the urge to jump to conclusions
		Practice Questions Answers and Explanations
		Whaddya Know? Chapter 20 Quiz
		Answers to Chapter 20 Quiz
	Appendix: Tables for Reference
		The Z-Table
		The t-Table
		The Binomial Table
Index
EULA




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