# Complete idiot's guide to business statistics

## Author: BAKER

Language: Anglais

Approximative price 21.47 €

Subject to availability at the publisher.

Publication date:
312 p. · 22.2x18.4 cm · Paperback

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• ## Contents

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1.Statistics and Business Go Hand in Hand.

The Origin of Statistics. Some Real-World Business Examples of Statistics. Introducing the Branches of Statistics. The Relationship Between Probability and Statistics.

Understanding Observations. Organizing Observations into a Datafile. Exploring the Four Basic Data Types. Understanding the Limitations of Your Data Choices. Start Making Decisions by Creating Datafiles.

3.Visualizing Profit and Performance.

Turning Raw Data into Information. Examining Relationships with Scatterplots. Understanding the Types of Variables. Common Questions About Research Data.

4.Predicting Profits with Measures of Central Tendency.

The Meaning of the Mean. The Mode-Not an Operation, but a Count. The Median-In the Middle of Everything. When to Use a Measure of Central Tendency.

5.Improving Quality with Measures of Dispersion.

Getting Started with Dispersion Measures. Recognizing the Variance. Introducing the All-Important Standard Deviation.

6.Solving Problems with Curves and z-Scores.

Introducing the Bell-Shaped Curve. Measuring the Standard Normal Distribution. Estimating the Number of Units That Are Substandard. Predicting Percentages with z-Scores. Skewed Curves and the Relation to a Standard Distribution.

II.FACING PROBABILITY AND FORECASTING.

7.Playing the Probability Game.

Introducing the Classic Theory of Probability. Sampling with Replacement. Dependent Events and Probability. Exploring Normal Curves and the Binomial Scale.

Introducing the Components of Time Series Data. Working with Precalculated Business Data.

9.Making Decisions That Count.

Understanding the Key Decisions. Charting a Decision Tree. Learning by Example. Devising Strategies for Decision Making.

Deciding When to Use Research. Developing a Basic Research Methodology. Identifying Appropriate Research Projects. Understanding the Levels of Research.

11.Eliminating the Bias in Your Research.

The Infinite Population in Applied Statistics. The Importance of Random Sampling. Choosing the Appropriate Sampling Methods. How Big Should the Sample Be?

Conducting Bernoulli Trials. What About Interval and Ratio Samples? Determining a Confidence Interval. It Won't Work with Small Samples.

Using the Normal Distribution to Answer Questions. Stating Hypotheses to Test Assumptions. Using a Five-Step Procedure for Testing a Hypothesis. Testing a Hypothesis.

14.Learning from Contingency Tables.

How to Create a Contingency Table. A Real Example of How It Works. Using Chi Square for Other Expected Frequencies. Try Using a Contingency Table On Your Own.

IV.SEEING THE INDUSTRY RELATIONSHIPS.

15.Recognizing the Relationships of Business Variables.

Starting with Correlation of Business Variables. Revealing Hidden Relationships with the Correlation Coefficient. Going Beyond Correlation to Prediction. Predicting Business Values. What Happens When You Have More Variables?

16.Estimating the Probability of Success with the t- Test.

Understanding the Student's t Distribution. U