Complete idiot's guide to business statistics

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Langue : Anglais
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Business and marketing professionals have to answer tough questions. "How much do 20-to-29-year-olds in New York spend in restaurants?" "What's the potential market for a $1,200 stereo system?" "Where can I find customers for a home manicure service?" Statistics can be intimidating. How do you use data to determine the direction of your group or product? What are nominal and ordinal variables anyway? In The Complete Idiot's Guide® to Business Statistics, Dr. Sunny Baker gives readers a step-by-step guide to choosing, using, and interpreting statistical analyses for business. The author approaches statistical evaluations as concepts, focusing on the data business people need to interpret and put together, and not on the arithmetic, symbols, and calculations alone. Covering tendency, variables and distributions, this title shows how to use this data for business including sampling, generalizations, analyzing data, and correlation theories. Using real business scenarios as example, The Complete Idiot's Guide® to Business Statistics becomes a handbook for real-life business and marketing professionals.


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.

2.Understanding and Organizing Business Data.

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.


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.

8.Forecasting Your Business Results.

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.


10.Using Research in Your Business.

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?

12.Being Confident About Your Sample.

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

13.Testing Your Hypothesis.

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.


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