Tsunami Vulnerability in the United States Research Questions-MSU .

11:26 1 Х Final Project Instructions ооо Final Project Project report format In this report, you should describe your research question and reasons (very brief background), the results of your analysis, and the conclusions you would reach from those results. This report should look like a formal report to a statistically naïve reader. Because a statistical analysis aims to answer a scientific question, you should organize your information in a format customarily used in science. Please refer to the project sections and the points related to each: a a 1. Introduction (10): Describe the scientific motivation for the analysis. Please be brief but do provide some support for your research question to be answered. Generally, this will include a statement about the overall goal you are addressing (e.g., the disease and the public health impact of the disease) and the specific aims of the current study. 2. Research Questions (10): List the specific question(s) you aim to answer in your analyses. 3. Source of the Data: (5) Describe the source and sampling methods for the data if known. Describe the variables that are available and their meaning for the analysis. This should not be a detailed presentation of descriptive statistics, however. That will come under Results. a 4. Statistical Methods (5): Describe the methods used for the analysis at two levels and state your assumptions. 5. Results (60): Provide the relevant results of your analyses. Provide interpretations for all outcomes. Do not include all the dead-end studies you might have done unless they provide insight into the question. a. Start with descriptive statistics. The goal is to describe the characteristics of the sample used to address the question and present descriptive statistics that address the questions. Include tables and graphical plots. b. Go to the advanced analyses used to answer the primary questions. Tables are helpful here. When possible, use words instead of cryptic variable names. 6. Conclusion (10): Discuss the conclusions you feel can be drawn from the analyses. Suggest directions for future studies and analyses. Highlight the limitations of the data and your comments. 11:26 1 Х Final Project Instructions ооо malTES. 6. Conclusion (10): Discuss the conclusions you feel can be drawn from the analyses. Suggest directions for future studies and analyses. Highlight the limitations of the data and your comments. 7. Proper format and quality of writing/grammar (10): Please proofread and spell-check your document. Statistical Methods Include the appropriate output from STATA Data: Needs to have at least 30 observations and 2 variables A. Descriptive Statistics (20 points) 1. For each variable, report the following (3 points) a. Measurement Type b. Min c. 25th percentile d. Mean e.75th percentile f. Max g. Standard deviation h. Variance i. Range 2. Prepare histograms of the variables in your data set (3 points) 3. Include at least one box plot. Are there any outliers? (2 points) 4. Based on your histograms, which variables appear not to be normally distributed? (2 points) 5. Test your variables for normality using the goodness of fit statistics (i.e., Wilk Statistic for Normality) (10 points) a. B. Advanced Statistical Analysis (40 points) 1. Correlation (10 points) Choose two variables and calculate Pearson’s product-moment correlation coefficient, and test for significance. b. Calculate Spearman’s rank-order coefficient and test for significance. c. Did you make the same decision when for both tests? a. 2. Two or more groups (10 points) . Take one of your variables and divide the observations into two or more groups (western, eastern, gender, age) b. Use the appropriate parametric or nonparametric statistics to test your null hypothesis. 3. Regression analysis (10 points) Indicate your independent and dependent a. 11:26 1 Х Final Project Instructions OOO 4. Based on your histograms, which variables appear not to be normally distributed? (2 points) 5. Test your variables for normality using the goodness of fit statistics (i.e., Wilk Statistic for Normality) (10 points) a. B. Advanced Statistical Analysis (40 points) 1. Correlation (10 points) Choose two variables and calculate Pearson’s product-moment correlation coefficient, and test for significance. b. Calculate Spearman’s rank-order coefficient and test for significance. Did you make the same decision when for both tests? c. 2. Two or more groups (10 points) a. Take one of your variables and divide the observations into two or more groups (western, eastern, gender, age) b. Use the appropriate parametric or nonparametric statistics to test your null hypothesis. 3. Regression analysis (10 points) a. Indicate your independent and dependent variables. b. Fit regression model c. Test for residuals i. Test normal distribution of residuals ii. Y vs. Y’ plot iii. Residual Plot iv. Leverage v. Equation 4. Cluster analysis (10 points) a. Hierarchical Agglomerative b. Pseudo F plot c. K-means i. Frequency table (per k) ii. Tabstat (min mean max) iii. K Interpretation 5. Geographic Analysis (Choose 1) (EXTRA CREDIT: 10 points) a. Point and area pattern analysis b. Linear regression (OLS or GWR) N