tailieunhanh - Ebook Understandable statistics (9th edition): Part 2

(BQ) Part 2 book "Understandable statistics" has contents: Hypothesis testing, correlation and regression, chi square and F distributions, nonparametric statistics. | 9 Introduction to Statistical Tests Testing the Mean m Testing a Proportion p Tests Involving Paired Differences (Dependent Samples) Testing m1 Ϫ m2 and p1 Ϫ p2 (Independent Samples) “Would you tell me, please, which way I ought to go from here?” “That depends a good deal on where you want to get to,” said the Cat. “I don’t much care where—” said Alice. “Then it doesn’t matter which way you go,” said the Cat. _Lewis Carroll Alice’s Adventures in Wonderland For on-line student resources, visit the Brase/Brase, Understandable Statistics, 9th edition web site at . 398 Charles Lutwidge Dodgson (1832–1898) was an English mathematician who loved to write children’s stories in his free time. The dialogue between Alice and the Cheshire Cat occurs in the masterpiece Alice’s Adventures in Wonderland, written by Dodgson under the pen name Lewis Carroll. These lines relate to our study of hypothesis testing. Statistical tests cannot answer all of life’s questions. They cannot always tell us “where to go,” but after this decision is made on other grounds, they can help us find the best way to get there. Hypothesis Testing P R EVI EW QU ESTIONS Many of life’s questions require a yes or no answer. When you must act on incomplete (sample) information, how do you decide whether to accept or reject a proposal? (SECTION ) What is the P-value of a statistical test? What does this measurement have to do with performance reliability? (SECTION ) How do you construct statistical tests for m? Does it make a difference whether s is known or unknown? (SECTION ) How do you construct statistical tests for the proportion p of successes in a binomial experiment? (SECTION ) What are the advantages of pairing data values? How do you construct statistical tests for paired differences? (SECTION ) How do you construct statistical tests for differences of independent random variables? (SECTION ) FOCUS PROBLEM Benford’s Law: .

• Toán học
• Understandable statistics
• Hypothesis testing
• Correlation and regression
• Chi square
• Nonparametric statistics
• Basic statistics
• Statistics for business
• Describing data
• Nonparametric methods
• Goodness of fit tests
• Contingency table analysis
• Mathematical Statistics
• Introduction to Mathematical Statistics
• Optimal Tests of Hypotheses
• Bayesian statistics
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Hypothesis test
• Probability and statistics for engineers
• Probability and statistics for scientists
• Probability and statistics
• Nonparametric hypothesis tests
• Ebook Elementary statistics
• Elementary statistics
• Chi square tests
• Analysis of variance
• Applied statistics and probability
• Continuous random variables
• Simple linear regression
• Multiple linear regression
• Statistical quality control
• Applied statistics
• Probability for engineers
• Several factors
• Additional topics
• Regression analysis
• Multiple variable regression analysis
• Two variable regression analysis
• Hypothesis testing
• Sampling and simulation
• Population variances
• Experimental design
• Time series forecasting
• Spearman rank correlation
• Large Sample Techniques
• Large Sample Techniques for Statistics
• Stochastic processes
• Mixed effects models
• Small area estimation
• Statistics for management and economics
• Chi squared tests
• Multiple regression
• Model building
• Statistical process control
• Statistical inferences
• Inferences involving
• Inferences involving two populations
• Applications of chi square
• Linear correlation
• Understandable statistics concepts
• F distributions
• Inferences from two samples
• Contingency tables
• Probability statistics
• Inference from small samples
• The analysis of variance
• Linear regression
• Multiple regression analysis
• Categorical data
• Statistical techniques
• Chi square distribution
• Linear regression models
• Design of experiments
• Empirical methods
• Some issues in statistical applications
• Nonparametric tests
• Learning from data
• Comparing two groups
• The art and science
• Comparing groups
• Confidence intervals
• Tests of hypotheses
• Categorical data analysis