Applied Statistics for Business and Economics

Regular price €74.99
A01=Robert M. Leekley
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Applied Statistics
Author_Robert M. Leekley
automatic-update
Bayes� Theorem
Bell Shaped Curve
Category1=Non-Fiction
Category=KCH
Category=KJQ
Category=PBT
College GPA
Condence Interval
Condence Interval Estimate
Confidence Intervals
Contingency Tables
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Descriptive Statistics
Dummy Variable
Employee Id Number
eq_business-finance-law
eq_isMigrated=2
eq_non-fiction
Error Tc
Estimation
Fo Fe
Gdp Growth
High School GPA
Hypothesis Testing
Language_English
Moving Average
Natural Science Major
Null Hypothesis
PA=Available
Pe Rc
Population Regression Line
Population Standard Deviation
Price_€50 to €100
Probability
PS=Active
Sample Regression Line
Sample Slopes
Sampling
Sampling Distribution
Seasonal Index
softlaunch
Standard Normal Table
Student’s GPA
Summary Statistics
Variable Coefficient Standard
Worst Plausible Case
Young Men

Product details

  • ISBN 9780367384449
  • Weight: 930g
  • Dimensions: 178 x 254mm
  • Publication Date: 23 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley

The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes’ theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression). The final chapter introduces classical time-series analysis and how it applies to business and economics.

This text provides a practical understanding of the value of statistics in the real world. After reading the book, students will be able to summarize data in insightful ways using charts, graphs, and summary statistics as well as make inferences from samples, especially about relationships.

Robert M. Leekley is a professor in the Department of Economics at Illinois Wesleyan University.