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Introduction. ... Understand the users and uses of your statistics. ... Put the statistics into context. ... Provide interpretation for the statistics. ... Present main messages clearly and concisely. ... Use structure to tell the statistical story. ... Use plain language. ... Help users find the information they need.

Your introduction must be followed by your research methods. In this part, you are going to give a description of the way you conduct the study, the aim of your study and the method of how you are able to compile the data you have gathered. All the tools and application used must also be included in the list.

Every statistical test that you report should relate directly to a hypothesis. Begin the results section by restating each hypothesis, then state whether your results supported it, then give the data and statistics that allowed you to draw this conclusion.

Introduction: Give a brief background of the research problem and how the data were collected. Clearly outline the question(s) of interest that you will address with the statistical analysis.

Introduction. ... Understand the users and uses of your statistics. ... Put the statistics into context. ... Provide interpretation for the statistics. ... Present main messages clearly and concisely. ... Use structure to tell the statistical story. ... Use plain language. ... Help users find the information they need.

Step 1: Write your hypotheses and plan your research design. ... Step 2: Collect data from a sample. ... Step 3: Summarize your data with descriptive statistics. ... Step 4: Test hypotheses or make estimates with inferential statistics. ... Step 5: Interpret your results.

The five basic methods are mean, standard deviation, regression, hypothesis testing, and sample size determination. It is widely used by governments, businesses, banking entities, insurance companies, etc.

Step 1: Write your hypotheses and plan your research design. ... Step 2: Collect data from a sample. ... Step 3: Summarize your data with descriptive statistics. ... Step 4: Test hypotheses or make estimates with inferential statistics. ... Step 5: Interpret your results.