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Statistics: Informed Decisions Using Data 4th Edition, (Ebook PDF)

Name: Statistics: Informed Decisions Using Data 4th Edition, (Ebook PDF)
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Statistics: Informed Decisions Using Data 4th Edition, (Ebook PDF) – Digital Instant Dowload.

SKU: 96750d35625a Category: Mathematics Tags: Data, Informed Decisions, Michael Sullivan III

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Statistics: Informed Decisions Using Data 4th Edition, (Ebook PDF) – Digital Instant Dowload.

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ISBN-10 ‏ : ‎ 1269425498
ISBN-13 ‏ : ‎ 978-0321757272
Author: Michael Sullivan III (Author)

Michael Sullivan’s Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students’ lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, “Putting It Together” features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics.

This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

Table contents:

1. Data collection

Introduction to the practice of statistics

Simple random sampling

Other effective sampling methods

Bias in sampling

The design of experiments

Consumer Reports : emotional “aspirin”

Case study : chrysalises for cash

2. Organizing and summarizing data

Organizing qualitative data

Consumer Reports : Consumer Reports rates treadmills

Organizing quantitative data : the popular displays

Additional displays of quantitative data

Graphical misrepresentations of data

Case study : the day the sky roared

3. Numerically summarizing data

Measures of central tendency

Measures of dispersion

Consumer Reports : basement waterproofing coatings

Measures of central tendency and dispersion from grouped data

Measures of position and outliers

The fine-number summary and boxplots

Case study : who was “a mourner”?

4. Describing the relation between two variables

Scatter diagrams and correlation

Least-squares regression

Diagnostics on the least-squares regression line

Consumer Reports : fit to drink

Contingency tables and association

Nonlinear regression : transformations

Case study : Thomas Malthus, population, and subsistence

5. Probability rules

The addition rule and complements

Independence and the multiplication rule

Conditional probability and the general multiplication rule

Consumer Reports : his n’ hers razor?

Counting techniques

Putting it together : which method do I use?

Bayes’ rule

Case study : the case of the body in the bag

6. Discrete probability distributions

Discrete random variables

The binomial probability distribution

The Poisson probability distribution

Consumer Reports : quality assurance in customer relations

The hypergeometric probability distribution

Case study : the voyage of the St. Andrew

7. The normal probability distribution

Properties of the normal distribution

Applications of the normal distribution

Consumer Reports : sunscreens

Assessing normality

The normal approximation to the binomial probability

Case study : a tale of blood chemistry and health

8. Sampling distributions

Distribution of the sample mean

Distribution of the sample proportion

Consumer Reports : tanning salons

Case study : sampling distribution of the median. 9. Estimating the value of a parameter

Estimating a population proportion

Estimating a population mean

Consumer Reports : Consumer Reports tests tires

Estimating a population standard deviation

Putting it together : which method do I use?

Estimating with bootstrapping

Case study : when model requirements fail

10. Hypothesis tests regarding a parameter

The language of hypothesis testing

Hypothesis tests for a population proportion

Hypothesis tests for a population mean

Hypothesis tests for a population standard deviation

Putting it together : which method do I use?

The probability of a type II error and the power of the test

Case study : how old is Stonehenge?

11. Inferences on two samples

Inference about two population proportions

Inference about two means : dependent samples

Inference about two means : independent samples

Consumer Reports : the high cost of convenience

Inference about two population standard deviations

Putting it together : which method do I use?

Case study : control in the design of an experiment

12. Inference on categorical data

Goodness-of-fit test

Tests for independence and the homogeneity of proportions

Consumer Reports : dirty birds?

Case study : feeling lucky? Well, are you?

13. Comparing three or more means

Comparing three or more means (one-way analysis of variance)

Post Hoc tests on one-way analysis of variance

Consumer Reports : tea antioxidants, an unexpected side benefit to a cheap and tasty beverage

The randomized complete block design

Two-way analysis of variance

Case study : hat size and intelligence

14. Inference on the least-squares regression model and multiple regression

Testing the significance of the least-squares regression model

Confidence and prediction intervals

Multiple regression

Case study : housing boom

15. Nonparametric statistics

An overview of nonparametric statistics

Runs test for randomness

Inferences about measures of central tendency

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