## Statistics using SPSS Assignment Help

SPSS is one of the most comprehensive and flexible tool for statistical analysis and data management. SPSS has range of applications in Statistics such as Descriptive Statistics, Hypothesis Testing, Regression Analysis, Factor Analysis etc.

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Following is the list of comprehensive topics in which we offer the quality solutions:

- Analysis of covariance
- Canonical Correlation Analysis
- Chi-square tests
- Correlation
- Discriminant Function Analysis
- Factor analysis
- Friedman Test
- Hierarchical multiple regression
- Independent-samples t-test
- Kruskal-Wallis Test
- Logistic regression
- Mann-Whitney U Test
- Mixed between-within subjects analysis of variance
- Multinomial Logistic Regression
- Multiple regression
- Multivariate analysis of variance
- Negative Binomial Regression
- Non-parametric statistics
- One-way analysis of variance
- One-way MANOVA
- Ordinal Logistic Regression
- Paired-samples t-test
- Partial correlation
- Planned comparisons/Post-hoc analyses
- Poisson Regression
- Preliminary analyses
- Probit Regression
- Spearman’s Rank Order Correlation
- Standard multiple regression
- Summary of techniques covered in this chapter
- T-tests
- Two-way between-groups ANOVA
- Type 1 error, Type 2 error and power
- Wilcoxon Signed Rank Test
- Advanced Quantitative Methods
- Advanced Topics in State Space Models and Dynamic Factor Analysis
- Analysis of Variance
- Applied Econometrics
- Chi-Squared Tests of Association
- Correlation
- Cross Sectional & Panel Data
- Data Management and Analysis for Monitoring and Evaluation in Development
- Data Management, Analysis, and Graphics
- Data Management, Regression, Panel Data Analysis & Research Output using Stata
- Dynamic Factor Models and Time Series Analysis in Stata
- Facts and Formulae Leaflets
- Frequency Tables and Contingency Tables
- Linear and logistic regression models
- Time Series Analysis
- Logistic Regression Models: Modelling binary, proportional and categorical response models
- Longitudinal Data Analysis
- Management, Analysis and Graphics of Epidemiology Data
- Micro econometrics
- Modeling count data: Understanding and modeling risk and rates
- Multilevel & Longitudinal Modelling
- Multilevel Modeling
- Multivariate Methods
- Nonparametric Methods
- Panel Data Analysis
- Power and Sample Size
- Presenting and Summarizing Data
- Propensity Score Analysis
- Rates and survival analysis: Poisson, Cox, and parametric survival models
- Regression and Model Building
- Regression Models for Categorical Dependent Variables using Stata
- Sample Size and Statistical Power
- Stata programming