Statistical SPSS

Norusis, M.J. 1986. Advanced Statistics SPSS/PC+. SPSS, Inc., Chicago, IL. 

Analyses were conducted with SPSS version 13.0, and data satisfied the requirements of the statistical tests used non-normally distributed data were analysed with the Kruskal-Wallis test. We compared how highly the males were rated in terms of their attractiveness by the women in each of the three experimental conditions. 

Statistical analyses were performed with SPSS 8.0. We used a Wilcoxon signed ranks test to test for seasonality. To test for individuality we used a general linear model (GLM) with either individual or colony as a fixed factor. All tests were... 

All statistics and graphs were generated using SPSS and SigmaPlot 2002 for Windows Version 8.02 (SPSS Inc.). ANOVA was used to analyze the experimental data on alkaloid + frequencies. The average frequency and standard... 

Statistical Methods. The Statistical Package for the Social Sciences (SPSS), version 8 (10, 11) was used for all statistical analyses. All data were entered into a permanent file and verified prior to statistical analyses. 

The SPSS statistical package for Windows was used [28], with level of significance was set at 5%. 

Norusis MJ (2008) SPSS 16.0 advanced statistical procedures companion. Prentice Hall, Upper Saddle River, NJ... 

Experimental data and calculated data for the photodegradation of chlo-rophenols were compared using multivariate analysis and SPSS statistical software. A linear expression was developed using the independent variables Kow and ores and the dependent variable log k/kQ. Calculated values for log k/k0 were obtained from the following linear equation ... 

The authors of this book have found LOTUS and EXCEL satisfactory for data preprocessing and STATGRAPH, SPSS, and STATISTICA suitable for the application of statistical methods. UNSCRAMBLER is recommended if applying PLS modeling. 

Calibration curves were constructed with the NIST albumin (5 concentrations in triplicate) and with the FLUKA albumin (5 concentrations in duplicate) in the concentration range of 50 250 mg/1. The measured values of individual concentrations fluctuated around the fitted lines, with a standard error of 0.007 of the measured absorbance. The difference between FLUKA and NIST albumin calibration lines was statistically insignificant, as evaluated by the t-test P=0.14 > 0.05. The calibration lines differed only in the range of a random error. The FLUKA albumin was, thus, equivalent to that of NIST. Statistical evaluation was carried out using the regression analysis module of the statistical package SPSS, version 4.0. 

West, R. (1991) Computing for Psychologists Statistical Analysis Using SPSS and Minitab. Chur Harwood Academic Publishers. 

SyStat. SyStat is a stand-alone statistical package of SPSS Inc. (http // www.spsscience.com), that performs comprehensive statistical analysis. The user s... 

SPSS www.sas. c om/technologies/analytics/stadstics/stat/) IBM A computer program used for data mining and statistical analysis (http // www-01. ibm.com/software/ analytics/spss/)... 

The main goal of this section is to provide a summary of several of the most widely used multivariate procedures in food authentication out of the vast array currently available. These are included in well-known computer packages such as BMDP, IMSL, MATLAB, NAG, SAS, SPSS and STATISTIC A. The first three subsections describe unsupervised procedures, also called exploratory data analysis, that can reveal hidden patterns in complex data by reducing data to more interpretable information, to emphasize the natural grouping in the data and show which variables most strongly influence these patterns. The fourth and fifth subsections are focused on the supervised procedures of discriminant analysis and regression. The former produces good information when applied under the strictness of certain tests, whereas the latter is mainly used when the objective is calibration. 

For all statistical procedures, the book will provide general instructions that will certainly be appropriate for SPSS and Minitab, but also for most other packages. These will cover those aspects that are fairly standard ... 

Detailed instructions are provided for the calculation of the mean, median and SD (but not quartiles) using Microsoft Excel. Readers are referred to the accompanying web site for detailed instructions on generating all these descriptive statistics (including quartiles) using Minitab or SPSS. Generalized instructions that should be relevant to most statistical packages are provided in the book. 

However, computers are quicker (and more reliable). Excel does not offer the SEM as a standard worksheet function, but it is included in the output from the Data Analysis tool (see Chapter 2). Both Minitab and SPSS include it in their Descriptive Statistics routines. 

The test is directly available in some statistical packages (e.g. SPSS) but not in others such as Minitab. Where it is available, the pre- and post-treatment values are entered into two columns and the test can be performed directly. With the likes of Minitab, the test can be achieved, but it is messy. You will first have to calculate the change that occurs in each individual and enter these into a column. Then the one-sample Wilcoxon procedure is used to compare these values against a null hypothesis of no systematic change. 

The book is not tied to any specific statistical package. Instructions should allow readers to enter data into any package and find the key parts of the output. Specific instructions for performing all the procedures, using Mini tab or SPSS, are provided in a linked web site (www.staff.ljmu.ac.uk/phaprowe/pharmstats.htm). 

Descriptive statistics (number of observations (n), mean, standard deviation, coefficient of variation in percent (CV %) or median and range) were calculated for each parameter. Statistical tests using SPSS software were as follows ... 

One of die difficulties is to decide what software to employ in order to analyse the data. This book is not restrictive and you can use any approach you like. Some readers like to program their own mediods, for example in C or Visual Basic. Others may like to use a statistical packages such as SAS or SPSS. Some groups use ready packaged chemometrics software such as Pirouette, Simca, Unscrambler and several others on the market. One problem widi using packages is that they are often very... 

Most traditional approaches to classification in science are called discriminant analysis and are often also called forms of hard modelling . The majority of statistically based software packages such as SAS, BMDP and SPSS contain substantial numbers of procedures, referred to by various names such as linear (or Fisher) discriminant analysis and canonical variates analysis. There is a substantial statistical literature in this area. 

The statistical software systems used for analysis of clitucal trial data can range from custom programs for specific statistical techniques to COTS packages. Such packages (e g, the SAS system, SPSS, S-Plus) provide the user with a library of statistical procedures (e.g., analysis of variance, regression, generahzed linear modelling, nonparametric methods) which can be accessed either by... 

SAS-PROBIT — Analogous to the SPSS-PROBIT in that it is part of a widely available SAS statistical package. 

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