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Statistical Data Analysis with SPSS
SPSS is one the leading statistical software in the world. It provides powerful data analysis tools, which are indispensable for professionals in many different areas. SPSS is required at many universities, and it is for most part the standard for data analysis in several fields.
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This is a list of subjects you may be interested in:
- Survey Analysis
- Design of surveys
- Reports - Crosstabs
- Scales - Reliability - Cronbach's Alpha
- Factor Analysis - Principal Components
- Questionnaire Analysis using SPSS
- Discriminant Analysis
- Data Analysis, Sampling and Charts
- Sampling Methods: Random, Stratified, Cluster, etc.
- Stem and Leaf
- Normality Tests (Anderson-Darling, Kolmogorov)
- Measures of Central Tendency and Dispersion
- Standard Deviation
- Standard Error of the Mean
- Coefficient of variation
- Regression Analysis
- Coefficient of Correlation
- Coefficient of Determination
- Least Squares Method
- Multiple Linear Regression
- Multivariate Statistical Analysis
- Logistic Regression in SPSS
- Times Series
- Control Charts
- Seasonal Indexes
- Trends, cycles
- Probability Distributions
- Binomial Distribution
- Poisson Distribution
- Exponential Distribution
- Standard Normal Distribution
- Hypothesis Testing
- Z-test, two independent samples
- t-test, two independent samples, paired samples
- Non-parametric Chi Square test
- One Way and Two way ANOVA
- Factorial ANOVA
- ANCOVA and MANOVA in SPSS
- Levene's Test
- Chi Square Tests
- Non-Parametric Tests
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