My research question :Is there a distinction in tallness dependent on if the understudy is in seventh grade or eighth grade?
The result of this project should be a well written paper that illustrates your understanding of the material covered in the first two units of STA 210. The expectation is not to write a technical report but one illustrating your understanding of concepts. For your paper, you should follow the guidelines listed below and make sure to include all elements identified in the rubric. You should have already identified a research question and it should have been approved by the instructor. If not, you need to do this immediately. The first paragraph of the report should identify the research question, why you chose it, and give a little background information. The second paragraph should describe the variables in your study. You should identify your response and explanatory variable. The level of measurement and type (for quantitative include discrete or continuous) for each should be stated. Also, you should discuss how you will measure each variable. For example, if you are giving a survey, state the data will be collected in that manner. Give categories when appropriate and address if there is a control group. Will you use a placebo and/or blinding? Discuss any possible reliability or validity issues with the measures, or why there will be no issues. Finally, based on the variables identify if this is an observational study or an experiment. The third paragraph should explain the design. This will include a description of your population and sample. Include sample size and how your sample will be selected. Do not just say randomly, give details. Explain if it will be a simple random sample, stratified sample, systematic sample, or cluster sample. Address bias (random sampling), confounding (random assignment), sampling error, and non-sampling error (response error, loss of subjects, non-response). The fourth paragraph should discuss how you would summarize the data via graphs and/or numerical summaries. First, address this from a univariate perspective with your explanatory variable and then your response variable. For a graphical description would a pie chart, bar graph, stem-and-leaf, histogram, or other graph be appropriate. Explain what you would expect in the data with regards to extreme values and the shape of the distribution. In terms of a numerical description, would the mean, median, mode, quartiles, range, interquartile range, variance, standard deviation or other numerical summary be a proper choice? Next address this from a bivariate perspective. Would it be best to utilize a contingency table, Boxplot, line graph, scatter plot, or other graph to visualize the relationship? Finally, you likely think there is some relationship between the two variables (or you would not have picked them). Identify if you think this relationship is correlational or cause and effect and explain why. This is not just an opinion, think about the criteria for cause and effect. The fifth and final paragraph should be your conclusion. It should include your hypothesis for what you think the outcome might be. You will not collect any data and will not test the hypothesis. We will discuss how to do these kinds of tests as we discuss inferential statistics.