Posted: September 13th, 2017

Interpretation of statistical information

Statistics is the study that pertains to the collection, analysis, explanation or interpretation, and presentation of data. Interpretation of statistical information often involves the development of a null hypothesis—that whatever is proposed as a cause has no effect on the variable being measured.

Specifically, the following critical elements must be addressed:

1. Statistical Argument: Propose an argument that answers the prompt. Include a strong thesis statement connected to data-driven evidence.
a. Topic Selection: Select an appropriate topic and provide a detailed explanation of the significance.
b. Citations: Paraphrase and/or integrate quotes effectively.
2. Data Collection: Once you finalize your research question, compile your research and collect raw data.
a. Organization: Include a clearly stated thesis and a well-organized body section of your paper.
3. Statistical Process: Using your knowledge of the scientific method and statistical process to analyze the data:
a. Descriptive Statistics: Summarize the population data by describing what was observed in the sample set numerically or graphically.
b. Inferential Statistics: Use patterns in the sample data to draw inferences about the population represented, accounting for randomness. These inferences may take the form of hypothesis testing (e.g., answering yes/no questions about the data), estimation (estimating numerical characteristics of the data), correlation (describing associations within the data), and modeling relationships within the data.
c. Null Hypothesis: Refer to a general or default position—that there is no relationship between two measured phenomena. Rejecting or disproving the null hypothesis is concluding that there are grounds for believing that there is a relationship between two phenomena or that a potential treatment has a measurable effect.
4. Primary-Source Analysis: Select sources in support of your thesis statement. Critically examine the sources in context of your paper topic. Remember that this is not based on opinion, but rather based on analysis of the statistical data. The source methodology supports your thesis statement.

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