Statistics Essay Writing Service
Essay Experts understands that most students are not naturals when undertaking statistics. But statistics are all around us, and those of us who want to produce a professional career, or a post-graduate career, recognize that understanding statistics is integral to success. We are the leading custom writing service in North America, and we got that way by hiring and keeping many of the top academic writers in the world. After more than 25 years of excellence, we have some of the stop statisticians to be found anywhere. We have written tens of thousands of stats papers, at the graduate, post-graduate, and post-doctoral level, and our industry-leading thesis and dissertation division will provide you with the elite stats writer you need to make your most important papers outstanding.
We write all types of statistics assignments!
Our statistical services include data collection, statistical analysis, data collection, research analysis, rationalizing complex datasets, and making the leading statistical analysis software on the market Excel, SPSS, R, and R-markdown, SAS, Excel Solver, Matlab, Tableau, Stata, and E-views, to name just a few work for you. Our skilled writers are proficient at data cleaning and preparation, can and will address issues surrounding missing data and outliers, and are the best anywhere at data exploration and analysis. We only hire those with advanced degrees from leading schools in statistics, and they are renowned for their exceptional competence with statistical rules, limitations, and criteria; our writers do not make the logical or inferential errors that you will see elsewhere. Los Angeles County is filled with thousands upon thousands of students who are looking for that edge that will set them apart from the crowd and secure their future. We understand that, and well help you get where you want to go.
Because we have been doing this for decades, and because we have successfully helped tens of thousands of students reach their goals, we appreciate how hard it is to get things right. Our statistics writers are versatile and exceptionally good at solving any problems that might arise. We have a team of writers who are superb at data visualization, able to craft compelling and precise charts to capture whatever trends and patterns matter most to you. Our experts also have exemplary verbal and written communication skills, and they can communicate effectively with both the expert and the layperson; you will never have to worry about clarity when working with our team. They care about your success, because your success is their success, too.
Essay Experts recognizes that every statistics paper is a little bit different, and that some papers may require expertise in a host of areas. Contact us today, send us your assignment information, and let us get to work connecting you with the experts you need. We have worldclass writers in the following statistics areas:
1. Qualitative and Quantitative Data Types
(Binomial, nominal, ordinal, ratio, discrete and continuous/scale data)
2. Data Cleaning and Sampling
(ungrouped and grouped data organization)
3. Descriptive Statistics and Analysis
(measures of frequency count, percent and frequency, measures of central tendency- mean, median and the mode, measures of variation- range, standard deviation, and variance, measures of position- IQR, percentile ranks, and quartile ranks)
4. Graphical and Visual Data Presentation
(bara charts, scatter plots, pie charts, histograms, boxplots, heat maps, ogives, and polygons)
5. Probabilities
(simple, conditional, marginal union, intersection, additional and multiplication, independent and mutually exclusive event probabilities)
6. Probability Distributions
(Uniform- to model multiple events, Binomial- to model binary data, and Poisson distribution- to model count data)
7. Sampling and sampling distributions
(sampling methods, the central limit theorem, margin, and Standard errors)
8. Sample Size Estimation and Power Analysis
(effect size, power analysis)
9. Confidence Intervals
(population parameters- mean and variance, point estimates- proportions)
10. Tests of Statistical Significance
(hypothesis testing, level of significance, one and two-tailed tests, parametric and non-parametric tests, critical value and p-value approach, Type I and Type II errors, effect size, observed power)
11. Test of Data Normality
(Kolmogorov-Smirnov and Shapiro-Wilk tests)
12. Hypothesis Testing 1 or 2 Populations
(equality of variances and Levene's F test, t-test, z-test, Welch's t-test)
13. Repeated Measures Design
(paired samples t-test, repeated measures ANOVA)
14. Tests of Association
(chi-square goodness of fit test, chi-square test of independence)
15. Correlational Analysis
(Pearsons correlations, Spearmans Rank-order correlations, partial correlations)
16. Analysis of Variance
(One-way ANOVA, Two-way ANOVA, Sphericity, Interaction effects, Repeated measures ANOVA, ANCOVA, and MANOVA
17. Post-Hoc-Analysis
(Tukeys test- Studentized range distribution, Bonferroni procedures, Duncans Multiple range test, Dunns multiple comparison test, Fishers least significant difference-LSD, Holm-Bonferroni process, Newman-Keuls, Rodgers method, and Scheffe)
18. Regression Analysis
(simple linear and multiple regressions, ordinary least squares regression Logistic and multinomial regressions, ridge and lasso regressions, Multi-collinearity, coefficient of determination, testing of significance, regression equation modeling, confidence and prediction intervals, testing assumptions, and residual analysis)
19. Non-Parametric Analysis of Relationship
(Chi-square, Fisher's Exact test, Phi and Cramer's V, Lambda, Gamma, Kendall's Tau)
20. Non-parametric Hypothesis Testing
(Mann-Whitney U test, Kruskal-Wallis ANOVA by ranks, Wilcoxon Signed-Rank test, Friedman repeated measures test
21. Factor Analysis
(exploratory and confirmatory analysis, structural equation modeling)
22. Cluster Analysis
(centroid clustering, density clustering, distribution clustering, and connectivity clustering)
23. Research Designs/Methods
(experimental design - controlled experiment vs observational study, external and internal validity, measurement reliability and validity, case study design, causal design, cohort designs, cross-sectional design, and descriptive design)
24. Causality Analysis
(confounding factors, intervening variables- mediator and moderator elements, Sobels z-test)
25. Linear Programming
(decision tree models, objective functions, optimization- simplex, graphical method, and open solver)
26. Meta-analysis
(heterogeneity analysis, sensitivity analysis, and evaluation of publication bias)
Whatever you need, we have the people to make your dream a reality. Call or email us now.
Give us a call right now and we can give you more information on how we can help you with your thesis or dissertation. We can get the process started right away over the phone! Call us Now!
Call 1.866.ESSAYS.5
Or, if you're ready to get started right away …
