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Collegiate, advanced degree and business management students have been coming to ClassOf1 for Statistics Assignments for our highly analytical and incisive quality of the assignment help. We are established as a reliable and reasonable cost provider of homework help with expertise in Statistics area. We have also provided homework help and guidance to many students pursuing education through online universities, institutes or online MBA Programs. Click here to know some of the topics on which Statistics Assignment help is provided.


Use our easy process for quick Statistics Homework help listed below:


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Our helpful expert will be able to assist you on both descriptive statistics and inferential statistics.

- In Descriptive statistics, we summarize and describe numerically or graphically illustrated data. The standard deviation and mean are good examples of numerical descriptors; graphical description often includes different kinds of chart and graphs.

- In Inferential statistics, we help with judgments about a larger population based on the data collected from a small sample drawn from the population. Inferential statistics can be used in hypothesis testing with yes or no questions, where a null hypothesis is put forward and it is a determined whether the data are strong enough to reject it. In estimation (proportions, means, variances), the given sample is used to estimate a parameter and a confidence interval about the estimate is constructed.

Other topics that we can help are:

Top
Graphs & Diagrams Confidence Interval for Mean & Proportions Descriptive Statistics
Average Random Variables - Discrete & Continuous Distributions Dispersion
Correlation Binomial & Poisson Distribution Regression Analysis
Time Series Quality control - R-chart - p-chart - Mean chart Moving Averages
Exponential Smoothing Probability - Conditional Probability - Bayes' Theorem Sampling Techniques
Sampling Distribution Moment Generating Function - Central Limit Theorem Estimation Theory
Point Estimate & Interval Estimate Normal, Uniform & Exponential Distribution Testing of Hypothesis - Mean and Proportion Test
Chi-Square Test – Independence of Attributes F-test - ANOVA  


Books (currently in use)

Books (coming shortly)

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Business Statistics, Gupta S.P Operations Management, Joseph G Monks SPSS 13.0 Statistical Procedures Companion, Upper Saddle-River, N.J.Norusis, M. 2004
Probablity and Random Variables and Random Signal Principles, Peyton Z Peebles Statistics For Business And Economics, Anderson Sweeney SAS Institute (Inc)- SAS users guide (version – 9.3.1)
Probablity and Random Processes, Singaravelu Mathematical Statistics, Kapur J.N. Applied Logistic Regression, Hosmer, D. W., and S. Lemeshow. 2000.
Design and Analysis of Experiments, Monto Merry Elements Of Mathematical Statistics, Gupta.S.C Statistical Design for Research. New York, Kish, L. 1987.
Multivariate Data Analysis, Hair Business Statistics, Amir D Aczel Applied Survival Analysis. New York, Hosmer, D. W., and S. Lemeshow. 1999
Introduction to Probability Models, Sheldon Operation Research An Introduction, Hamdy A Taha Quantitative Applications in the Social Sciences #17: Reliability and Validity Assessment, Edward G. Carmines
Introduction to Probability Models, Waynel Winston Complex Variables, Murry R Spiegel Applied Multivariate Statistical Analysis (Paperback), Wolfgang Härdle
Fundamentals Of Mathematical Statistics, Gupta.S.C AP Statistics 2007, Martin Sternstein Application of Statistics to Industrial Experiments, Daniel
Statistical Quality Control, Eugene AP Advanced Placement Ex Statistics Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, Gelman, A. and Meng, X.L. (2004)
Statistics (Outlines), Murray Analysis Of Symbolic Data, H H Bock Econometric theory, Goldberger
Applied Nonparametric Statistical Methods, Third Edition (Texts in Statistical Science.) (Paperback), Peter Sprent, Nigel C. Smeeton Analysis of Symbolic Data: Exploratory methods for Extracting Statistical Information from Complex Data (Studies in Classification, Data Analysis and Knowledge Organisation), Hans-Hermann Bock, Edwin Diday Probability Models and Statistical Methods in Genetics, Elandt - Johnson