|Seeing Through Statistics by Jessica M. Utts (2004, Paperback, Revised) : Jessica M. Utts (Trade Paper, 2004)|
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|Seeing Through Statistics by Jessica M. Utts (2004, Paperback, Revised)|
Returns not accepted
|PART 1: FINDING DATA IN LIFE. 1. The Benefits and Risks of Using Statistics. Statistics. Detecting Patterns and Relationships. Don''t Be Deceived by Improper Use of Statistics. Summary and Conclusions. 2. Reading the News. The Educated Consumer of Data. Origins of News Stories. How to be a Statistics Sleuth: Seven Critical Components. Four Hypothetical Examples of Bad Reports. Planning Your Own Study: Defining the Components in Advance. 3. Measurements, Mistakes, and Misunderstandings. Simple Measures Don''t Exist. It''s All in the Wording. Open or Closed Questions: Should Choices Be Given? Defining What is Being Measured. Defining a Common Language. 4. How to Get a Good Sample. Common Research Strategies. Defining a Common Language. The Beauty of Sampling. Simple Random Sampling. Other Sampling Methods. Difficulties and Disasters in Sampling. 5. Experiments and Observational Studies. Defining a Common Language. Designing a Good Experiment. Difficulties and Disasters in Experiments. Designing a Good Observational Experiment. Difficulties and Disasters in Observational Studies. Random Sample versus Random Assignment. 6. Getting the Big Picture. Final Questions. Case Studies. PART 2: FINDING LIFE IN DATA. 7. Summarizing and Displaying Measurement Data. Turning Data into Information. Picturing Data: Stemplots and Histograms. Five Useful Numbers: A Summary. Boxplots. Traditional Measures: Mean, Variance, and Standard Deviation. Caution: Being Average Isn''t Normal. 8. Bell-Shaped Curves and Other Shapes. Populations, Frequency Curves, and Proportions. The Pervasiveness of Normal Curves. Percentiles and Standardized Scores. z-Scores and Familiar Intervals. 9. Plots, Graphs, and Pictures. Well-Designed Statistical Pictures. Pictures of Categorical Data. Pictures of Measurement Variables. Difficulties and Disasters in Plots, Graphs, and Pictures. A Checklist for Statistical Procedures. 10. Relationships Between Measurement Variables. Statistical Relationships. Strength versus Statistical Significance. Measuring Strength Through Correlation. Specifying Linear Relationships through Regression. 11. Relationships Can Be Deceiving. Illegitimate Correlations. Legitimate Correlation Does Not Imply Causation. Some Reasons for Relationships Between Variables. Confirming Causation. 12. Relationships Between Categorical Variables. Displaying Relationships Between Categorical Variables. Relative Risk, Increased Risk, and Odds. Misleading Statistics about Risk. Simpson''s Paradox: The Missing Third Variable. 13. Statistical Significance for 2 x 2 Tables. Measuring the Strength of a Relationship. Steps for Assessing Statistical Significance. The Chi-Square Test. Practical versus Statistical Significance. 14. Reading the Economic News. Cost of Living: The Consumer Price Index. Uses of the Consumer Price Index. Criticisms of the Consumer Price Index. Economic Indicators. 15. Understanding and Reporting Trends over Time. Time Series. Components of Time Series. Seasonal Adjustments: Reporting the Consumer Price Index. Cautions and Checklist. PART 3: UNDERSTANDING UNCERTAINTY IN LIFE. 16. Understanding Probability and Long-Term Expectations. Probability. The Relative-Frequency Interpretation. The Personal-Probability Interpretation. Applying Some Simple Probability Rules. When Will It Happen? Long-Term Gains, Losses, and Expectations. 17. Psychological Influences on Personal Probability. Revisiting Personal Probability. Equivalent Probabilities: Different Decisions. How Personal Probabilities can Be Distorted. Optimism, Reluctance to Change, and Overconfidence. Calibrating Personal Probabilities of Experts. Tips for Improving Your Personal Probabilities and Judgments. 18. When Intuition Differs from Relative Frequency. Revisiting Relative Frequency. Coincidences. The Gambler''s Fallacy. Confusion of the Inverse. Using Expected Values to Make Wise Decisions. PART 4: MAKING JUDGMENTS FROM SURVEYS AND EXPERIMENTS. 19.|
|Author||Jessica M. Utts|
|Number Of Pages||584 pages|
|Series||Available Titles CengageNOW Ser.|
|LC Classification Number||QA276.12.U88 2005|
Average review score based on 5 user reviews
of customers recommend this product
The book was required for a college stats class. The chapters are short and easy to read. The only real disadvantage is not enough information for using the formulas and no explanations of some very important terms like p-value.
I like this book because it is exactly the same like my teacher wants us to use for his class. Seeing Through Statistics by Jessica M. Utts (2004, Paperback, Revised) is very interesting and thoughtful.
It was bought for a college class and is perfect! This is for a class in my Education major and next year I will be able to pass it down to my brother who is a Math major. Great Buy! We were lucky to get a copy in such good shape!