Research Gateway has the largest pool of PhD statisticians available for helping the PhD and Master's scholars in their research work. As of now, our team has 24 PhD Statisticians who have worked on numerous PhD projects for international Universities. A lot of these statisticians are also subject matter experts in Medicine, Management and Social Sciences. We also have a team of more than 50 Master's level statisticians. We have never turned down a statistical project due to its sheer complexity. This reveals the strength and confidence we bring to the table for our clients. We offer the least turnaround time and exclusive mentoring for thesis statistics help.

Statistics Help service is targeted at those research scholars who are confident with the rest of research work, but face problems with the statistical part, related to data collection, analysis and finding the results using a variety of statistical tools. We give the proper guidance to you and help you find the solutions, instead of providing readymade answers.

Statistical Data

Application of statistical techniques to research problems depends on the availability and reliability of the statistical data. Statistical data can be broadly divided into two categories namely: (a) Published data & (b) Unpublished data.

Data are also classified as primary and secondary. All original data collected by the researchers themselves fall in the category of primary data. Secondary data are those which are available for use from other sources.

Hypothesis Testing (Steps involved in Hypothesis Testing)

	Step 1: State the parameters of the hypothesis explicitly
	Step 2: State the null (H0) and alternative (H1) hypotheses with the help of the description of the problem under consideration.
	Step 3: Choose a suitable test statistics (T) that best reflects the relative plausibility of H0 and H1.
	Step 4: Partition the set of possible values of the test statistic (T) into two regions, viz. rejection region and acceptance region. If the observed value of T happens to be in the rejection region, reject the null hypothesis or accept the alternate hypothesis.
	Step 5: Observe the sample data, compute the value of T, and apply the decision rule discussed in the step 4.

Some of the sample statistical tests used for Thesis Statistics Help:

	Z Test for two populations means (variances known and equal).
	T- Test for a population mean (variance unknown).
	T-Test for two populations means (method of paired comparisons).
	F-Test for two population variances (Variance ratio test).
	Turkey test for multiple comparisons of K population means (Unequal sample sizes)
	Dunnett's test for comparing K treatments with a control.
	Bartlett's test for equality of K variances
	The Wilcoxon inversion test (U-test).
	The Spearman rank correlation test (paired observations).
	Durbin Watson test.
	The rank correlation test for agreement in multiple judgements.

Statistics represent an important part of your research and our expert help means that you do not falter at this vital stage. We understand your need and study the data provided before selecting the most appropriate tool for analysis of data. The team members are in direct contact with the client to help them understand every step of the analysis. This is important to assure that you are not confused when you receive the final work and can present the research work to your evaluators confidently. The service offered by us has a wide scope and is competitively priced.