Quantitative Analysis and Ibm(r) Spss(r) Statistics: A Guide for Business and Finance (Paperback)

1 Getting Started with SPSS 1.1 Creation of an SPSS data file 1.1.1 The SPSS Data Editor 1.1.2 Entering the data 1.1.3 Saving the data file 1.2 Descriptive statistics 1.2.1 Some commonly used statistics 1.2.2 Levels of measurement 1.2.3 Descriptive statistics in SPSS 1.2.4 A discussion of results 1.3 Creation of a chart 1.4 Basic editing of a chart and saving it in a file 2 Graphics and Introductory Statistical Analysis of Data 2.1 The boxplot 2.2 The histogram 2.3 The spread-level plot 2.4 Bar charts 2.5 Pie charts 2.6 Pareto charts 2.7 The drop-line chart 2.8 Line charts 2.9 Applying paneling to graphs 2.10 Data exploration via the EXPLORE routine 3 Frequencies and Crosstabulations 3.1 Univariate frequencies 3.2 Crosstabulation of two variables 3.3 Customising tables 4 Coding, Missing Values, Conditional and Arithmetic Operations 4.1 Coding of data 4.2 Arithmetic operations 4.3 Conditional transforms 4.4 The Autorecode facility 5 Hypothesis Tests Concerning Means 5.1 A review of hypothesis testing 5.2 The paired t test 5.3 The two sample t test 5.4 The one-way analysis of variance 6 Nonparametric Hypothesis Tests 6.1 The sign test 6.2 The Mann Whitney test 6.3 The Kruskal Wallis one way ANOVA 7 Bivariate Correlation and Regression 7.1 Bivariate correlation 7.2 Linear least squares regression for bivariate data 7.3 Bivariate correlation and regression in SPSS 8 Multivariate Regression 8.1 The assumptions underlying regression 8.2 Selecting the regression equation 8.3 Multivariate regression in SPSS 8.4 The Cochrane-Orcutt procedure for tackling autocorrelation 9 Logistic Regression 9.1 Binary Logistic Regression 9.2 The logistic model in SPSS 9.3 A financial application of the logistic model 9.4 Multinomial Logistic Regression