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STATA is a statistical software package tool which relates to the words statics and data. STATA’s capabilities include data management, statistical analysis, simulation, custom programming and graphics. The uses of Stata are integrated statistical software package. It is fast, accurate, and easy to use which comes handy in complete data-management facilities. Stata is used in many statistical assignments from advanced techniques, such as survival models with frailty assignment , dynamic panel data (DPD) regressions assignment , generalized estimating equations (GEE) assignment , multilevel mixed models assignment , models with sample selection assignment , multiple imputation assignment , ARCH assignment , and estimation with complex survey samples assignment; to standard methods, such as linear and generalized linear models (GLM), regressions with count or binary outcomes, ANOVA/MANOVA, ARIMA, cluster analysis, standardization of rates, case–control analysis, and basic tabulations and summary statistics.
The versions of STATA are given below:
Stata can import data in variety of formats. The data formats include ASCII and Excel formats. Every version of Stata can read and write all old dataset formats. There is a great demand for Stata users. Students can rely on Stata as their career. It’s fast, accurate and easy to use. It comes with a handy complete data management facilities. All analyses are documented and reproduced for publication and review.
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The uses of Stata to students are difficult especially in details where challenging assignments are issued by lecturers. A situation may also arise where the student is bind by work overload and therefore, they are unable to tackle the assignment within the designate deadline. If we are selected for your Stata assignment help, you can be certain of quality work. Our team offers interactive tutoring and assignment assistance. This improves the ability of the learner to understand the assignment requirements for future applications. The volume work that we do on a regular basis are:
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