## Statistics Assignment Help

Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.

A distinctive feature of our offering is the interactive session which we can schedule between you and the expert. You may specify the output format, referencing, formatting, timelines etc to the expert. Make payment only after you are absolutely sure about what to expect and by when.

We at Assignmentpedia are capable of providing best Statistics assignments / homework help with the use of latest softwares and statistical tools for data analysis like:

• SPSS
• Stata
• Minitab
• STATDISK
• PHStat2
• MS Excel
• Matlab
• Mathematica
• R code and S-Plus
• Tree Plan
• MegaStats
• POM/QM
• SAS

Stats is surely a vast field of study, which includes some of the following topics:

Below table will give you an idea of the comprehensive list of topics and what all can be done in which Statistical Software:

 TYPE OF STATISTICAL ANALYSIS R MATLAB SAS STATA SPSS Nonparametric Tests Yes Yes Yes Yes Yes T-test Yes Yes Yes Yes Yes ANOVA & MANOVA Yes Yes Yes Yes Yes ANCOVA & MANCOVA Yes Yes Yes Yes Yes Linear Regression Yes Yes Yes Yes Yes Generalized Least Squares Yes Yes Yes Yes Yes Ridge Regression Yes Yes Yes Lasso Yes Yes Experimental Generalized Linear Models Yes Yes Yes Yes Yes Mixed Effects Models Yes Yes Yes Yes Yes Logistic Regression Yes Yes Yes Yes Yes Nonlinear Regression Yes Yes Yes Discriminant Analysis Yes Yes Yes Yes Yes Nearest Neighbor Yes Yes Yes Yes Factor & Principal Components Analysis Yes Yes Yes Yes Yes Copula Models Yes Yes Experimental Cross-Validation Yes Yes Yes Bayesian Statistics Yes Yes Limited Monte Carlo, Classic Methods Yes Yes Yes Yes Limited Markov Chain Monte Carlo Yes Yes Yes Bootstrap & Jackknife Yes Yes Yes Yes EM Algorithm Yes Yes Yes Missing Data Imputation Yes Yes Yes Yes Yes Outlier Diagnostics Yes Yes Yes Yes Yes Robust Estimation Yes Yes Yes Yes Longitudinal (Panel) Data Yes Yes Yes Yes Limited Survival Analysis Yes Yes Yes Yes Yes Path Analysis Yes Yes Yes Propensity Score Matching Yes Yes Limited Stratified Samples (Survey Data) Yes Yes Yes Yes Yes Experimental Design Yes Yes Quality Control Yes Yes Yes Yes Reliability Theory Yes Yes Yes Yes Yes Univariate Time Series Yes Yes Yes Yes Limited Multivariate Time Series Yes Yes Yes Yes Markov Chains Yes Yes Hidden Markov Models Yes Yes Stochastic Volatility Models Yes Yes Limited Limited Limited Diffusions Yes Yes Counting Processes Yes Yes Yes Filtering Yes Yes Limited Limited Instrumental Variables Yes Yes Yes Yes Simultaneous Equations Yes Yes Yes Yes Splines Yes Yes Yes Nonparametric Smoothing Methods Yes Yes Yes Yes Extreme Value Theory Yes Yes Variance Stabilization Yes Yes Cluster Analysis Yes Yes Yes Yes Yes Neural Networks Yes Yes Yes Limited Classification & Regression Trees Yes Yes Yes Limited Boosting Classification & Regression Trees Yes Yes Random Forests Yes Yes Support Vector Machines Yes Yes Signal Processing Yes Yes Wavelet Analysis Yes Yes Yes ROC Curves Yes Yes Yes Yes Yes Optimization Yes Yes Yes