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E-raamat: Statistics: 1001 Practice Problems For Dummies (+ Free Online Practice)

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 11-Apr-2022
  • Kirjastus: For Dummies
  • Keel: eng
  • ISBN-13: 9781119883609
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 11-Apr-2022
  • Kirjastus: For Dummies
  • Keel: eng
  • ISBN-13: 9781119883609
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Become more likely to succeed—gain stats mastery with Dummies

Statistics: 1001 Practice Problems For Dummies gives you 1,001 opportunities to practice solving problems from all the major topics covered in Statistics classes—in the book and online! Get extra help with tricky subjects, solidify what you’ve already learned, and get in-depth walk-throughs for every problem with this useful book. These practice problems and detailed answer explanations will help you gain a valuable working knowledge of statistics, no matter what your skill level. Thanks to Dummies, you have a resource to help you put key stats concepts into practice.

  • Work through practice problems on all Statistics topics covered in school classes
  • Read through detailed explanations of the answers to build your understanding
  • Access practice questions online to study anywhere, any time
  • Improve your grade and up your study game with practice, practice, practice

The material presented in Statistics: 1001 Practice Problems For Dummies is an excellent resource for students, as well as parents and tutors looking to help supplement Statistics instruction.

Statistics: 1001 Practice Problems For Dummies (9781119883593) was previously published as 1,001 Statistics Practice Problems For Dummies (9781118776049). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

Introduction 1(4)
What You'll Find
1(1)
How This Workbook Is Organized
1(2)
Part 1: The Questions
2(1)
Part 2: The Answers
3(1)
Beyond the Book
3(1)
What you'll find online
3(1)
How to register
4(1)
Where to Go for Additional Help
4(1)
Part 1: The Questions 5 (160)
Chapter 1 Basic Vocabulary
7(4)
The Problems You'll Work On
7(1)
What to Watch Out For
7(1)
Picking Out the Population, Sample, Parameter, and Statistic
8(1)
Distinguishing Quantitative and Categorical Variables
8(1)
Getting a Handle on Bias, Variables, and the Mean
9(1)
Understanding Different Statistics and Data Analysis Terms
9(1)
Using Statistical Techniques
10(1)
Working with the Standard Deviation
10(1)
Chapter 2 Descriptive Statistics
11(10)
The Problems You'll Work On
11(1)
What to Watch Out For
11(1)
Understanding the Mean and the Median
12(1)
Surveying Standard Deviation and Variance
13(2)
Employing the Empirical Rule
15(1)
Measuring Relative Standing with Percentiles
16(1)
Delving into Data Sets and Descriptive Statistics
17(4)
Chapter 3 Graphing
21(12)
The Problems You'll Work On
21(1)
What to Watch Out For
21(1)
Interpreting Pie Charts
22(1)
Considering Three-Dimensional Pie Charts
22(1)
Interpreting Bar Charts
23(1)
Introducing Other Graphs
24(1)
Interpreting Histograms
24(1)
Digging Deeper into Histograms
25(1)
Comparing Histograms
26(1)
Describing the Center of a Distribution
27(1)
Interpreting Box Plots
27(1)
Comparing Two Box Plots
28(1)
Comparing Three Box Plots
29(1)
Interpreting Time Charts
30(1)
Getting More Practice with Histograms
31(2)
Chapter 4 Random Variables and the Binomial Distribution
33(10)
The Problems You'll Work On
33(1)
What to Watch Out For
33(1)
Comparing Discrete and Continuous Random Variables
34(1)
Understanding the Probability Distribution of a Random Variable
35(1)
Determining the Mean of a Discrete Random Variable
35(1)
Digging Deeper into the Mean of a Discrete Random Variable
35(1)
Working with the Variance of a Discrete Random Variable
36(1)
Putting Together the Mean, Variance, and Standard Deviation of a Random Variable
36(1)
Digging Deeper into the Mean, Variance, and Standard Deviation of a Random Variable
37(1)
Introducing Binomial Random Variables
37(1)
Figuring Out the Mean, Variance, and Standard Deviation of a Binomial Random Variable
38(1)
Finding Binomial Probabilities with a Formula
38(1)
Digging Deeper into Binomial Probabilities Using a Formula
39(1)
Finding Binomial Probabilities with the Binomial Table
39(1)
Digging Deeper into Binomial Probabilities Using the Binomial Table
40(1)
Using the Normal Approximation to the Binomial
40(1)
Digging Deeper into the Normal Approximation to the Binomial
41(1)
Getting More Practice with Binomial Variables
41(2)
Chapter 5 The Normal Distribution
43(8)
The Problems You'll Work On
43(1)
What to Watch Out For
43(1)
Defining and Describing the Normal Distribution
44(1)
Working with z-Scores and Values of X
45(1)
Digging Deeper into z-Scores and Values of X
45(1)
Writing Probability Notations
46(1)
Introducing the Z-Table
47(1)
Finding Probabilities for a Normal Distribution
47(1)
Digging Deeper into z-Scores and Probabilities
47(1)
Figuring Out Percentiles for a Normal Distribution
48(1)
Digging Deeper into Percentiles for a Normal Distribution
49(1)
Getting More Practice with Percentiles
49(2)
Chapter 6 The t-Distribution
51(6)
The Problems You'll Work On
51(1)
What to Watch Out For
51(1)
Understanding the t-Distribution and Comparing It to the Z-Distribution
52(1)
Using the t-Table
53(2)
Using the t-Distribution to Calculate Confidence Intervals
55(2)
Chapter 7 Sampling Distributions and the Central Limit Theorem
57(14)
The Problems You'll Work On
57(1)
What to Watch Out For
57(1)
Introducing the Basics of Sampling Distributions
58(1)
Checking Out Random Variables and Sample Means
59(1)
Examining Standard Error
59(1)
Surveying Notation and Symbols
60(1)
Understanding What Affects Standard Error
61(1)
Digging Deeper into Standard Error
61(1)
Connecting Sample Means and Sampling Distributions
62(2)
Digging Deeper into Sampling Distributions of Sample Means
64(1)
Looking at the Central Limit Theorem
65(1)
Getting More Practice with Sample Mean Calculations
66(1)
Finding Probabilities for Sample Means
66(1)
Digging Deeper into Probabilities for Sample Means
67(1)
Adding Proportions to the Mix
68(1)
Figuring Out the Standard Error of the Sample Proportion
68(1)
Using the Central Limit Theorem for Proportions
68(1)
Matching z-Scores to Sample Proportions
69(1)
Finding Approximate Probabilities
69(1)
Getting More Practice with Probabilities
69(1)
Digging Deeper into Approximate Probabilities
70(1)
Chapter 8 Finding Room for a Margin of Error
71(4)
The Problems You'll Work On
71(1)
What to Watch Out For
71(1)
Defining and Calculating Margin of Error
72(1)
Using the Formula for Margin of Error When Estimating a Population Mean
72(1)
Finding Appropriate z*-Values for Given Confidence Levels
73(1)
Connecting Margin of Error to Sample Size
73(1)
Getting More Practice with the Formula for Margin of Error
73(1)
Linking Margin of Error and Population Proportion
74(1)
Chapter 9 Confidence Intervals: Basics for Single Population Means and Proportions
75(16)
The Problems You'll Work On
75(1)
What to Watch Out For
75(1)
Introducing Confidence Intervals
76(1)
Checking Out Components of Confidence Intervals
77(2)
Interpreting Confidence Intervals
79(1)
Spotting Misleading Confidence Intervals
80(3)
Calculating a Confidence Interval for a Population Mean
83(3)
Determining the Needed Sample Size
86(1)
Introducing a Population Proportion
87(1)
Connecting a Population Proportion to a Survey
88(1)
Calculating a Confidence Interval for a Population Proportion
88(1)
Digging Deeper into Population Proportions
89(1)
Getting More Practice with Population Proportions
90(1)
Chapter 10 Confidence Intervals for Two Population Means and Proportions
91(6)
The Problems You'll Work On
91(1)
What to Watch Out For
91(1)
Working with Confidence Intervals and Population Proportions
92(1)
Digging Deeper into Confidence Intervals and Population Proportions
92(1)
Working with Confidence Intervals and Population Means
93(1)
Making Calculations When Population Standard Deviations Are Known
93(1)
Digging Deeper into Calculations When Population Standard Deviations Are Known
94(1)
Working with Unknown Population Standard Deviations and Small Sample Sizes
95(1)
Digging Deeper into Unknown Population Standard Deviations and Small Sample Sizes
96(1)
Chapter 11 Claims, Tests, and Conclusions
97(8)
The Problems You'll Work On
97(1)
What to Watch Out For
97(1)
Knowing When to Use a Hypothesis Test
98(1)
Setting Up Null and Alternative Hypotheses
98(2)
Finding the Test Statistic and the p-Value
100(1)
Making Decisions Based on Alpha Levels and Test Statistics
101(1)
Making Conclusions
101(2)
Understanding Type I and Type II Errors
103(2)
Chapter 12 Hypothesis Testing Basics for a Single Population Mean: z- and t-Tests
105(12)
The Problems You'll Work On
105(1)
What to Watch Out For
105(1)
Knowing What You Need to Run a z-Test
106(1)
Determining Null and Alternative Hypotheses
106(1)
Introducing p-Values
107(1)
Calculating the z-Test Statistic
107(1)
Finding p-Values by Doing a Test of One Population Mean
108(1)
Drawing Conclusions about Hypotheses
108(1)
Digging Deeper into p-Values
109(1)
Digging Deeper into Conclusions about Hypotheses
109(1)
Digging Deeper into Null and Alternative Hypotheses
110(1)
Knowing When to Use a t-Test
111(1)
Connecting Hypotheses to t-Tests
111(1)
Calculating Test Statistics
112(1)
Working with Critical Values of t
112(1)
Linking p-Values and t-Tests
113(1)
Drawing Conclusions from t-Tests
114(1)
Performing a t-Test for a Single Population Mean
115(1)
Drawing More Conclusions from t-Tests
115(2)
Chapter 13 Hypothesis Tests for One Proportion, Two Proportions, or Two Population Means
117(10)
The Problems You'll Work On
117(1)
What to Watch Out For
118(1)
Testing One Population Proportion
118(2)
Comparing Two Independent Population Means
120(1)
Digging Deeper into Two Independent Population Means
121(1)
Getting More Practice with Two Independent Population Means
121(1)
Using the Paired t-Test
122(1)
Digging Deeper into the Paired t-Test
123(1)
Comparing Two Population Proportions
124(1)
Digging Deeper into Two Population Proportions
124(3)
Chapter 14 Surveys
127(4)
The Problems You'll Work On
127(1)
What to Watch Out For
127(1)
Planning and Designing Surveys
128(1)
Selecting Samples and Conducting Surveys
128(3)
Chapter 15 Correlation
131(8)
The Problems You'll Work On
131(1)
What to Watch Out For
131(1)
Interpreting Scatter Plots
132(1)
Creating Scatter Plots
132(1)
Understanding What Correlations Indicate
133(1)
Digging Deeper into Scatter Plots
133(1)
Digging Deeper into What Correlations Indicate
134(1)
Calculating Correlations
134(1)
Noting How Correlations Can Change
135(1)
Looking at the Properties of Correlations
135(1)
Digging Deeper into How Correlations Can Change
136(1)
Making Conclusions about Correlations
136(1)
Getting More Practice with Scatter Plots and Correlation Changes
136(1)
Making More Conclusions about Correlations
137(2)
Chapter 16 Simple Linear Regression
139(14)
The Problems You'll Work On
139(1)
What to Watch Out For
139(1)
Introducing the Regression Line
140(1)
Knowing the Conditions for Regression
140(1)
Examining the Equation for Calculating the Least-Squares Regression Line
140(1)
Finding the Slope and y-Intercept of a Regression Line
141(1)
Seeing How Variables Can Change in a Regression Line
141(1)
Finding a Regression Line
141(1)
Digging Deeper into Finding a Regression Line
142(2)
Connecting to Correlation and Linear Relationships
144(1)
Determining Whether Variables Are Candidates for a Linear Regression Analysis
144(1)
Digging Deeper into Correlations and Linear Relationships
145(1)
Describing Linear Relationships
145(1)
Getting More Practice with Finding a Regression Line
146(1)
Making Predictions
147(1)
Figuring Out Expected Values and Differences
148(1)
Digging Deeper into Expected Values and Differences
149(1)
Digging Deeper into Predictions
150(1)
Getting More Practice with Expected Values and Differences
151(2)
Chapter 17 Two-Way Tables and Independence
153(12)
The Problems You'll Work On
153(1)
What to Watch Out For
153(1)
Introducing Variables and Two-Way Tables
154(1)
Reading a Two-Way Table
154(2)
Interpreting a Two-Way Table by Using Percentages
156(1)
Interpreting a Two-Way Table by Using Counts
156(1)
Connecting Conditional Probabilities to Two-Way Tables
157(1)
Investigating Independent Variables
158(1)
Calculating Marginal Probability and More
159(1)
Adding Joint Probability to the Mix
160(1)
Digging Deeper into Conditional and Marginal Probabilities
161(1)
Figuring Out the Number of Cells in a Two-Way Table
162(1)
Including Conditional Probability
162(1)
Digging into Research Designs
163(1)
Digging Deeper into Two-Way Tables
163(2)
Part 2: The Answers 165(298)
Chapter 18 Answers
167(296)
Appendix: Tables For Reference 463(12)
Index 475
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