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Statistics Assignment Help | Statistics Homework Help | Statistics Online Tutors | Statistics Help Online

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Global web tutors is known to have excellent experts for Statistics Assignment Help & Statistics home work. Our Statistics online experts are helping students at all levels. Get instant support by Statistics experts for your assignment problems. Statistics experts are available 24/7

Statistics is a term that is used to compile a process that an analyst uses to distinguish a data set. Statistical analysis includes the process of collecting and calculating data and then compiling the data into one mathematical form. This method is used to analyze large volumes of data and their following properties. There are two types of statistical methods used in the analyzes of data namely descriptive statistics and inferential statistics.
Descriptive statistics: Descriptive statistics is a terms which analyze the data and represent it. Descriptive statistics is further divided into four types:
• Frequency: Percent, Count and Frequency are the terms which come under this category.
• Central Tendency: Mean, Median and Mode are the terms which come under this category.
• Variation: Range, Standard Deviation and Variance are the terms which come under this category.
• Position: Quartile Ranks and Percentile Ranks are the terms which come under this category.
Inferential statistics: Inferential statistics is utilized only when the data is viewed as subclass for particular population. Inferential statistics is further divided into three types:
• t-tests
• ANOVA (Analysis of Variance)
• Regression
Software’s used in statistics are STATA, SPSS and SAS.

The different areas of applications of statistics are:

  • Biostatistics
  • Econometrics
  • Actuarial Sciences
  • Operations Research
  • Environmental Statistics
  • Astrostatistics
  • Business Analytics
  • Quality Control
  • Statistical Mechanics

Why Statistics Assignment help ? 

  • Stata Hypothesis Testing ,Non-Parametric Testing ,Biostatistics ,Linear Programming ,SPSS ,Time Series ,Kalman Filter and Particle Filter ,MegaStat ,Distribution theory ,Operations Research,Calculus, Monte Carlo simulation ,Elementary Statistical Theory ,Design of Experiments and Statistical Process Control ,Mathematical Methods ,Economics 
  • Finance ,Statistical Inference ,Multivariate Methods , Stochastic Processes ,Linear Modelling Survival Analysis , Multilevel Longitudinal Modelling ,Nonlinear Dynamics Analysis of Real  ,Statistical Methods,Quantitative Methods ,Clinical Trials ,SAS ,R Programming ,Quantitative Analysis ,SPSS Amos- SEM ,Reliability Theory ,Advanced Probability Theory ,Linear algebra ,Econometric Analysis ,SPSS- Factor Analysis ,Probability Distributions ,Basic Population Analysis ,Computational Methods in Finance Insurance ,Life Insurance ,Non-Life Insurance ,Finance Insurance ,Financial Statistics
  • Derivatives ,Quantitative Methods Finance Risk Analysis ,Continuous Time Optimisation ,Probability Measure ,Black Scholes Theory ,College Statistics  ,Regression Analysis ,Decision Theory ,Excel Minitab, Matlab, Survey Methodology ,Probability theory , Multivariate Statistics ,Sample Surveys , Multivariate Analysis , Classification ,Descriptive Statistics ,Fixed Income Markets , Asset Markets ,Foundations Interest Rate Credit Risk
  • Quantifying Risk Modelling Alternative Markets ,Applied Statistics ,Financial Risk Analysis ,Forecasting Financial Time Series ,Stochastics for Derivatives Modelling , Mathematical Programming Algorithms , Markov Processes , EViews ,LISREL

Some of the homework help topics include :

  • Analysis of Variance, ANOVA, AP Statistics, Bayesian Learning, Bernoulli Distributions, Beta Distributions, Binomial Distributions, Biostatistics, Business Statistics, Chi-Square Distributions, Continuous Time Markov Chains, Correlations, Degrees of Freedom, Discrete Time Markov Chains, Experimental Probability, Exponential Distributions, Frequency Distribution Tables, Gamma Distributions, Geometric Distributions, Hypergeometric Distributions, Inferential Statistics, Least Squares Regression, Markov Chains, Markov Models, Mean, Median, and Mode, Normal Distributions
  • Null and Alternative Hypotheses, Permutations and Combinations, Poisson Distributions, Power of a Statistics Test, Probability Probability (basic) Probability (College Level) Probability Distribution P-Values Regression Analysis, Sample Bias and Distribution, SPSS, Standard Deviation, Statistical Graphs, Statistics, Stochastic Modeling, Stochastic Processes, Student T-Distribution, T-Tests, Uniform Distributions, Variance, Z-Scores, Applied probability: Interpret data in an uncertain world, imperfect knowledge of the uncertainty,Bayesian inference with unknown priors,Frequentist significance tests and confidence intervals,Resampling methods: bootstrapping,Linear regression,Computation, simulation, and visualization using R and applets,scatter plots and histograms
  • Probability and likelihood functions, and find the maximum likelihood estimate for a model parameter,Bayesian updating with discrete priors to compute posterior distributions and posterior odds,Bayesian updating with continuous priors,estimates and predictions using the posterior distribution,credible intervals for parameter estimates,Null hypothesis significance testing (NHST) ,Significance tests like z-test t-test (one and two sample), chi-squared test,Confidence intervals for parameter estimates,Compute & interpret simple linear regression between two variables.,Least squares fit of data to a model
Online Statistics experts offer help for topics like Repeatable, statistical methods, experimental design basic, Block designs, Latin squares. Statistics Assignment helpers help with some of the most complicated topics like incomplete blocks, Two-level factorials, fractional factorials, fractional blocking, aliasing, supplement , other, designs ,orthogonal arrays, D optimal, computer-generated, industrial split-plot designs ,Response-surface method, Product, process robustness. 

Statistics Assignment help at the University level :

Our Statistics Assignment help tutors help with topics like Sequential Monte Carlo,Non-Gaussian Models (Probit, Logit, Poisson) .statistics assignment helper available 24/7 . Statistics research based problems & assignments. Masters or thesis help ,dissertation help in statistics. 

Statistics homework help topics include :

Statistics questions help services by live experts :

  • 24/7 Chat, Phone & Email support
  • Live help for Statistics online quiz & online tests Statistics exams & midterms
  • Statisticians with years of experience in research & software.


  • Simple linear regression; multiple regression; prediction ,noise,Dynamic Logit 
  • Residual diagnostics and time series forecasting ,Multivariate Models (Dynamic Factor Models)
  • Dummy Variables,Diagnostics and Transformations

Our Statistics Assignment help services for College students ensure :

  • Coursework help including assignments , tests ,exam prepapartion , question help & help for quiz & midterms
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  • Really affordable prices & online support.

Get instant help for Modern regression for the social behavioral and biological sciences ,Null and Alternative Hypotheses , Mathematics for business analysis ,Regression analysis for business , Statistical modeling , Advanced statistics for management, Forecasting methods for management ,Decision making under uncertainty homework help ,Fundamentals of actuarial science ,Actuarial statistics ,Applied statistical methods for actuaries.
Get help for Statistics datasets , Softwares & other Tools used for statistics assignment ,make statistical decisions ,
Data & methods used for analysis.

Complex topics covered by Statistics Assignment online experts :

  • Averages,variances,standard deviation,errors and error propagation,Binomial,Poisson,Gaussian distributions ,Concepts of probability,confidence intervals,limits,hypothesis testing,multivariate analysers,decision trees,support vector machines ,various optimisation techniques,
  • Maximum likelihood,asymptotic theory,nuisance parameters,applications, ,likelihood ratio test,score tests ,Wald tests,exponential family (properties: sufficiency, completeness),Confidence intervals 
  • Hypothesis tests,Bayesian inference,Multivariate normal distribution ,quadratic forms,Distributional results ,inference for general linear model
  • Descriptive statistics
  • Probability and random variables
  • Standard distributions
  • Fitting probability distributions
  • Working with multiple variables
  • Statistical inference Sampling distributions
  • Statistical inference (2) Statistical tests
  • Linear models in statistics
  • Data and its graphical representation
  • Drawing a histogram
  • Drawing Scatter plots
  • Statistical inference
  • What is statistical inference?
  • Three types of statistical inference problems
  • Estimation of a parameter
  • General principles of estimation of a parameter
  • Estimation of the binomial parameter
  • Estimation of a mean,  variance
  • Confidence statements
  • General idea of a confidence interval
  • Level of confidence
  • Confidence interval for a mean ??
  • One sample and two sample problems
  • Simple linear regression (SLR)
  •  Assumptions of SLR
  • Geometry of lines
  • Estimation of the parameters
  • Testing of Hypothesis
  • Null and alternative hypothesis
  • Two approaches to hypothesis testing
  • Both approaches          
  • Error
  • Critical value and P value
  • The concepts of deduction and induction
  • Tests for the equality of two binomial parameters
  • Chi-square tests
  • Tests of means
  • The one, two sample t test
  • The paired two sample t test
  • T test for the parameters of SLR
  • Non-parametric (= distribution-free) tests
  • The Wilcoxon signed-rank test



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