-Поиск по дневнику

Поиск сообщений в Smidt_Anthony

 -Подписка по e-mail

 

 -Статистика

Статистика LiveInternet.ru: показано количество хитов и посетителей
Создан: 03.10.2017
Записей: 11
Комментариев: 3
Написано: 13


Dissertation Statistics Help PhD Statistical Analysis Help

Понедельник, 10 Сентября 2018 г. 17:37 + в цитатник



Dissertation Statistics Help


Dissertation Statistics Help


Are you anxious about yourВ Dissertation Statistics? Many researchers across the globe struggle in completing their research design and statistics. We at Dissertation India, have the solution ready. Our specialised team of PhD statisticians can help you with research design, questionnaire design, conducting pilot study, data management, conducting statistical tests and interpreting the results thus achieved. OurВ Dissertation Statistics HelpВ service has been very well accepted by researchers and students doing their doctorate or master's.


Statistics is the core of research. A Thesis or Dissertation generally requires a lot of data collection, tabulation and then analysis of the same. With most studies in project management, consumer behaviour and medical sciences involving statistics, we have built an in-house team of 24 PhD and over 50 Master's level statisticians, who have years of experience in research methods and statistical analysis. We offer expert guidance to research students for completing the statistics part of their research work. Dissertation Statistics HelpВ also includes one to one consulting directly with the statistician.


Dissertation Statistics HelpВ has been a boon for researchers for over 10 years. We have been offering genuine support from an expert statistician panel for conducting research and completing the data analysis chapter. We have till date consulted over 1000 research candidates on various PhD and Master's studies. Our team of statisticians has dealt with research projects on Medicine, Pharma, Life Sciences, Management, Finance & Economics, Social Sciences and consumer research.


Any statistical project requires collecting and cleaning the data at the first stage. After understanding the hypothesis, variables and data size, it is important to select the most appropriate statistical test. Statistics help serviceВ meet s the requirements of scholars who are proficient in their domains, but lack knowledge of analytical tools. Choice of right statistical tests goes far in determining the success of dissertation. Tools including SPSS, Stata, E-Views, SAS, Excel, and Minitab are used frequently by us in completing such research studies. The suitable tool is chosen according to the topic of research and the preference of the student. We offer comprehensive data analysis and management post implementation of the statistical tool. We offerВ SPSS Help for those researchers who have a mandate to use SPSS for their data analysis chapter.


After having applied the tools, it becomes crucial to make proper inference of the calculations. a wrong interpretation of the results can spoil the research. Our statisticians provide an accurate report of the results for the discussions chapter. A statistical report consists of two parts namely: A A) Descriptive Statistics and B) Inferential Statistics.Good understanding of research methodology comes handy while doing the statistical analysis. https://www.the-essays.com/essay includes all tests which are a prerequisite (inherent tests like Bon Ferroni) for doing parametric or non-parametric tests.


The analysis reports presented include details of prerequisite tests and the significance tests carried out to decide on the hypothesis. In fact, we go a step further and explain the steps involved in statistical analysis so that you as a client remain confident in front of your dissertation committee. Whether you are looking for multivariate data analysis or structured equation modeling, we offer the right blend of solutions to complete the data analysis chapter.


One of the frequently searched questions in statistics is: What is a Principal Component Factor Analysis? The key aim of principal components factor analysis is to minimise the number of variables in the analysis by using a surrogate variable to represent a bunch of variables. Analysis of data result indicates the association amongst the original variables and the factors, so that making correct substitutions is possible. Principal Component Analysis (PCA) is normally employed to ease up the data set before further multivariate tests can be done on it.


Example of How to conduct logistic regression problem- Step by Step Process of Dissertation Statistics Help



 

Добавить комментарий:
Текст комментария: смайлики

Проверка орфографии: (найти ошибки)

Прикрепить картинку:

 Переводить URL в ссылку
 Подписаться на комментарии
 Подписать картинку