Business statistics : elements and applications / Mario J. Picconi, Albert Romano, Charles L. Olson.
Material type:
TextPublication details: New York : HarperCollins, c1993.Description: xix, 951 p. : col. ill. ; 26 cm. + 2 computer disks (3 1/2 in.)ISBN: - 0065001745
- 519.5 20
- HF1017 .P43 1993
| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| Books | Library First Floor | HF1017 .P43 1993 (Browse shelf(Opens below)) | 1 | Available | 4115 |
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| HF1017 .L424 2001 Business Statistics: | HF1017 L483 2010 BUSINESS STATISTICS: A FIRST COURSE/ | HF1017 .M358 1995 A first course in business statistics / | HF1017 .P43 1993 Business statistics : elements and applications / | HF1017 .S525 1994 Practical business statistics / | HF1017 .S525 1994 Practical business statistics / | HF1017 .S525 1994 Practical business statistics / |
System requirements for computer disks: IBM-PC, or compatible, or Macintosh, 1 disk for each; MINITAB or MYSTAT.
Includes index.
1. What Is Statistics? Introduction to Statistics. Types of Data. 2. Data Reduction: Descriptive Representations. Frequency Distributions. Frequency Curves. Other Graphical and Pictorial Representations. Exploratory Data Analysis. Sample Computer Output. 3. Numerical Summary Measures. Populations, Samples, and Summary Measures. Measures of Central Location. Measures of Variability or Dispersion. Sample Computer Output. Some Uses of the Mean and Standard Deviation. Measures of Central Location and Dispersion from Grouped Data. 4. Probability. Probabilities and Events. Assigning Probabilities to Events. Probabilities for Combined Events. Bayes Theorem. 5. Random Variables. Random Variables and Their Distributions. Some Discrete Probability Distributions. Continuous Probability Distributions. Sample Computer Output. 6. Sampling Distributions. Sampling Procedures. Sampling Distributions. Distribution of Sample Means. 7. Statistical Inference: Confidence Intervals. Confidence Interval Estimates for One Population Mean, m. Determining Sample Size for Estimating m. Confidence Interval Estimates for the Difference Between Two Population Means m1-m2. Paired Observations. Confidence Interval Estimates for the Difference Between Two Population Proportions p1-p2. Confidence Interval Estimates for Population Variance. Confidence Interval Estimates for the Ratio of Two Population Variances. 8. Statistical Inference: Testing Hypotheses. The Basics of Hypothesis. Testing. Test of Hypothesis: One Population Mean. Test of Hypothesis: One Population Proportion. Test of Hypothesis: Two Population Means (Independent Samples). Test of Hypothesis: Two Population Proportions (Independent Samples). Test of Hypothesis: One Population Variance. Test of Hypothesis: Two Population Variances. 9. Analysis of Variance. Introduction: Background of the Herzog Problem. One Way Analysis of Variance (ANOVA). Comparing Pairs of Means. Two-Way Analysis of Variance: Herzog Revisite
This text integrates "real-world" cases, examples and applications, to demonstrate how statistics can enhance students' future careers. One "real life" feature of the book is a survey of Wendy's restaurant customers - the data of which is available on the accompanying disk.
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