Facing issues to deal with statistics assignments? If yes, you might need statistics dissertation help. The experts associated here are highly experienced and skilled to deliver a high-quality paper and assists in completing assignments. Assignment Help Era can be the best option if you need any sort of help.
The dissertation is a mandatory and important task for students want to earn a Ph.D. degree in the field of statistics. Statistics dissertation requires significant proficient and experience in quantitative research. Quantitative research is a method to collect data which emphasizes numerical analysis, surveys, questionnaires, mathematical and statistical techniques. One should know the aspects of data, the process to analyse data and results if not they might need help in statistics dissertation.
Lists of Recent Topics in Statistics
Dissertation for statistics includes multiple topics. Few of them are explained below by our statistics dissertation experts.
- Bayesian Methods for Functional and Time Series Data
- Data Dependent Random Projections
- Statistical Issues in the Design and Analysis of Clinical Trials
- Tools for Modeling Sparse Vector Auto regressions
- Topics in Classification and Clustering of High-Dimensional Data and many more
These are the few topics that have been recently covered by our experts offering statistics assignment help in the UK. If you are writing your dissertation and unable to select topics can take help from the above-given topics. For any other details, you are free to contact us. We are available round the clock to assist you with all the academic concerns and issues.
Few Statistics Techniques Involved In Writing Dissertation
We are associated with a team of professionals who are proficient in delivering world-class statistics dissertation services. The academic writers at our statistics assignment help services are skilled with the use of Stata, SPSS, R, SAS, and Minitab. Additionally, there are various statistical techniques students must know before they write their assignment especially a dissertation:
Single sample t-test
The single sample t-test is a statistical technique that determines whether the form of the sample mean is statistically different or the same from a hypothesized population mean. The single sample t-test is also known as the test variable. It is commonly used for the following purposes:
- To find the difference between a hypothesized value and sample mean in the population.
- To find out the difference between sample midpoint and sample mean of the test variables.
- What is the statistical difference between a zero and a change score?
Independent samples t-test
The Independent Samples T-Test is used in statistics to compare the two independent groups to check whether statistical evidence related to population means are the same or different. This form of sample test can be said as a parametric test. It is also known with the following names like Independent Measures t-Test, Student t-Test, Independent Two-sample t-Test, Uncorrelated Scores t-Test or Unrelated t-Test.
ANOVA
It is also known as a One-way analysis of variance. It is used to know whether there is a difference between the means of three or more than three unrelated groups. Students might need an ANOVA test in the following situation:
- To recruit an individual or group of individuals
- At the time of splitting this group into smaller groups
- To measure the response on a particular dependent variable
ROC Curve Analysis
The ROC curve analysis is used in statistics to present the connection between possible cut-off of a test and clinical sensitivity in a graphical way. In order to plot the ROC curve, you can present a false positive rate on the X-axis and true positive rate on the Y-axis.
Ordinal Logistics Regression
It is a statistical analysis technique used to model the relationship between explanatory variables and ordinal response variable. It can be in the form of categorical and statistical data.
Beyond this, there are various other statistical techniques that can be used while writing statistics dissertations. For example - Binary logistics regression, Ordinary least squares (OLS) regression, Path Analysis, etc. If you need the help of statistics dissertation experts, we are here to help you with all the assignment related concerns.
How to structure a statistics dissertation?The ideal format explained for writing a statistical dissertation is to start with abstract and end with bibliography. Meanwhile, there could be a change in the formatting of the assignment depending on the university. Given below are few main points that are followed by our statistics homework help professionals are:
- Abstract
- Introduction
- Conduct a literature review
- Explain the research methodology
- Research findings
- Recommendations
- Conclusion
- References & bibliography
Why Assignment Help Era For Statistics Dissertation Help?
Willing to know why choose Assignment Help Era for your statistics dissertation? So, here are the few reasons:
- We have experts proficient in both mixed methods and quantitative data analysis methods.
- Help students in planning and outlining statistical hypotheses, sample sizes and methods for the project.
- Preparing tables, technical reports, figures, graphics, etc
- Providing expert consultation and live sessions services
No matter what you need? We are here to help you to overcome academic problems. Our services like a dissertation, essay, case study etc. are available at a reasonable price. To get help with us, simply email your requirements and additional comment. We are happy to help you out at every stage. Our services are available 24 hours all over the world.