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VERSION:2.0
PRODID:-//McTimothy Associates
CALSCALE:GREGORIAN
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X-WR-CALNAME:McTimothy Associates
X-ORIGINAL-URL:https://www.mctimothyassociates.com/product/statistical-analysis-with-spss-2/
X-WR-CALDESC:Statistical Analysis With SPSS
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DTSTART;TZID=Europe/Paris:20250508T100000
DTEND;TZID=Europe/Paris:20250510T160000
SUMMARY:Statistical Analysis With SPSS
DESCRIPTION:Statistical Data Analysis with SPSS Introduction IBM SPSS is one of the most popular tools used for statistical analysis of data in research units, administration and business. The training consists of the most frequently used elements of analysis of data, which may be modified and suited for a target group. The training starts with an introduction part during which statistical concepts are being discussed then, in the practical part the examples of using techniques of analysis of data in SPSS are presented. Who is this training for? Due to the wide range of IBM SPSS users every training is prepared exclusively for a client. Owing to this, you can be sure that after finishing the training you will be able to start working with data in SPSS. This training will meet your expectations even if you have no experience. What will I learn? Use IBM SPSS for statistical data analysis Apply appropriate statistical data analysis techniques to given business problem Import, filter and manipulate data in SPSS Interpret results of statistical test and models Apply linear regression approach to forecast and analyse relationship between variables Get actionable insight from statistical models Course outline Getting started with IBM SPSS Introduction to IBM SPSS Overview of statistical methods and options Data Window Output Viewer Plots window Getting help and documentation Exercises Working with data and files Data Import Data types in SPSS Creating new variables Data sampling Exporting data to SPSS and other formats Exercise Manipulating data Sorting Transformations Filtering Conditional filtering Generating samples Missing observations Exercises Exploratory data analysis Data Visualization Qualitative data – frequency plot, bar plot Quantitative data – histogram, box & whisker plot Central tendency Mode Median, Quartile, Percentile Mean Variability measures Variance, Standard deviation Range Interquartile range Coefficient of variability Exercises Data transformations Standardization Normalization date type operations Exercises First steps in statistical analysis Outliers detection Distribution analysis – normality, skewness, kurtosis Exercises Dependency analysis between variables Scatterplot Pearson’s correlation coefficient Spearman’s correlation coefficient Kendall’s tau correlation coefficient Exercises Regression analysis – numerical variables Simple linear regression Multiple linear regression Polynomial regression Variable selection Binary variables Exercises Regression analysis – qualitative variables Logistic regression ROC curve Multinomial logistic regression Exercises Causality analysis Causality analysis with linear regression models Structural modelling with SPSS Causality analysis in structural model Exercises Principal components and factor analysis Principal components Exploratory factor analysis Confirmatory factor analysis Exercises Cluster analysis Hierarchical methods k-means methods Exercises Analysis of variance Single-factor analysis – ANOVA oraz ANCOVA Multi-factor analysis – MANOVA Exercises   Duration: 3 days Prerequisites: Statistics
URL:https://www.mctimothyassociates.com/product/statistical-analysis-with-spss-2/
LOCATION:The Professional Place 12B, Olumoroti Street, Gbagada Phase2, Gbagada, Lagos
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