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050 0 0 _aHF1017
_b.P43 1993
082 0 0 _a519.5
_220
100 1 _aPicconi, Mario J.,
_d1942-
_949136
245 1 0 _aBusiness statistics :
_belements and applications /
_cMario J. Picconi, Albert Romano, Charles L. Olson.
260 _aNew York :
_bHarperCollins,
_cc1993.
300 _axix, 951 p. :
_bcol. ill. ;
_c26 cm.
_e+ 2 computer disks (3 1/2 in.)
500 _aSystem requirements for computer disks: IBM-PC, or compatible, or Macintosh, 1 disk for each; MINITAB or MYSTAT.
500 _aIncludes index.
505 _a1. 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
520 _aThis 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.
942 _2lcc
_n0
_cBK
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