Research and Development generally begins with feasibility study and planning


Planning is a linear executive process that usually makes plans as a way to achieve desired results.

The planning process consist of five sequential steps:

  • Identifying the problem/opportunity
  • Start and build research process
  • Make use of policy/programming
  • Implementation
  • Corrections and Evaluation

Data Mining

  • A process of sorting huge data sets in order to identify patterns & relationships that helps in solving business problems by means of data analysis.
  • It generally refers to the practice of analyzing enormous databases in order to originate a new information.
  • The techniques and tools of data mining assist enterprises to predict the future trends and aid them to make more-informed business decisions.

Calculating the Sample size and Power Required:

  • Sample Size actually refers to the number of observations involved in a study.
  • Sample size influences the following two statistical properties:
  1. Precision of estimates
  2. Power of study to figure out conclusions

Data Interpretation

  • It actually refers to the process of utilizing diverse analytical methods in order to review data and arrive at relevant conclusions.
  • The data interpretation aids the researchers to classify or categorize, manipulate, and sum up the information in order to answer censorious questions

Tool Development

  • The tool development process assembles at the time of review and summary of the relevant research.
  • The part of tool development process frequently includes discussion or consultation with the experts and internal products which guides the drafting and revision of tools.

Statistics Tutoring

  • Guides the students and researchers in designing their topic of study, analysis of data and interpretation.
  • The purpose of statistics tutoring is to provide reliable and understandable information about data analysis.

Data collection

  • The process of gathering and computing information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.
  • The component called data collection in research is usual in all the fields of study that includes physical & social sciences, humanities, business and many more.

Meta Analysis Process

  • Meta-analysis is a computable, formal, empirical study design used to orderly assess the results of previous research to derive certain conclusions.
  • Also, it is a statistical process which unites the information of various studies to discover common results and to pick out overall trends.

Data Analysis

Data basically comes from multiple sources. Thus, the analysis of data tends to be tremendously subjective. While there are several different types of processes the two wide most frequent categories used are Quantitative analysis and Qualitative analysis.

Use of Transcription

  • Transcription is essential for qualitative research because it is the one that makes use of qualitative data and information and converts it into a  text-based format.
  • Transcription is the one that makes data easier for analysis and sharing.
  • It lets the researchers to go well with the data they collect.

Report generation in research process

  • A research report is generally a well-fabricated document which figure outs the initial processes, the data used and analysis or the findings of systematic investigation done.
  • It is a crucial document that acts as a first-hand account of research process.
  • Report Generation is typically viewed as an objective and accurate source of information.

Peer Reviewing Process

The peer-review process basically subject’s scholarly work of an author or the researchers who are experts in the equivalent field and it is considered as mandatory for ensuring an academic scientific quality.

Research Methodology

Basically, this involves studying the methods or procedures used in certain field and also the theories/principles behind them which is used to develop an approach that matches your objectives. The term methods are specifically the tools & procedures that one uses to collect and analyze the data.

Statistics Coursework

  • Coursework or Homework is an important component because it allows students to  aid their learning through the feedback provided by marked assignments. 
  • Statistics homework, on the other hand, is critical because it deals with  all the data.
  • We will assist you in completing your statistics courses and tasks.