| |
Statistics
We offer a portfolio of unmatched Services in Statistics for our students in schools and colleges all over the word. We enable our students to leverage a 24X7 global delivery model. We offer seamless support to our students in finding solutions to their queries with our deep knowledge, experience and understanding of different areas in Statistics. We provide sufficient solutions to queries and projects related to Statistics.
Our Tutors are trained on a high degree of problem analytics, diagnostics and resolution. Anytime Tutor strong understands of an array of knowledge and experience help deliver superior service, which target the following areas.
• Probability Distributions
• Linear Regression
• Sampling Distributions
• Confidence Intervals
• Hypothesis Testing
• Analysis of Variance
• Descriptive Statistics
Don't spend another late night trying to sort your statistics homework out on your own. Contact one of our skilled statistics tutors today.
School and High School
Probability
Statistics
College and University
Introduction to Probability and Statistics I-II
Probability I-III
Advanced Probability
Basic Statistics
Applied Statistics
Statistics for Social Scientists
Probability and Statistics in Engineering and Science
Introduction to Resampling Inference
Applied Regression
Analysis of Variance
Nonparametric Statistics
Stochastic Processes
Applied Regression
Stochastic Modeling
Time Series Analysis
Classical Theory of Linear Models
Statistical Computing
Multivariate Analysis
Multivariate Statistical Methods
Advanced Applied Statistics
Statistical Analysis
1) Probability: Probability theory, queuing theory, Operations research,
quantitative techniques and management, stochastic process (Poisson, Gaussian, Wide sense stationary process, Strict sense
stationary process, Markov process, Fourier and inverse transforms) and autocorrelation function and spectral densities.
2) Statistics: Mathematical and applied statistic, Descriptive and inferential statistics,multivariate analysis, Sampling and hypothesis testing, ANOVA with single and two factors/3 factors, repeated measure ANOVA, multiple regression analysis (Durbin-watson test for autocorrelation, test for multicollinearity using index and test for hetroskedasticity).
3) Non-parametric tests: Sign test, Rank-Sum tests,Kruskall –Wallis H-test, Mann-Whitney U test and Kolmogorov-Smirnov test for distribution.
We undertake all Statistical analysis which requires the
application of SPSS, PAST, MINITAB and MS –EXCEL.
How to solve problems?...
|
|
