Step #1: Use various sources to collect information (StatsCan, GapMinder, Google, Surveys) and CREATE DATA TABLES that cover a span of at least 10 years. You will NEED at least 8 DATA TABLES. You can input the data into statistical analysis software (Excel or other Spreadsheet program). Data should be presented in tables, NO GRAPHS INCLUDE: 1 sentence summary of each table (ie: This data will show …) References and sources for each table! Step #2: Use your spreadsheet program to create graphs for all the data tables from step 1, and then perform calculations. The list below gives you an idea of the types of calculations that may need to be done. NOT ALL calculations are applicable to all data sets so you may not need to perform some of them. Is the data you have collected pertinent to your project? How valid is the data? What sampling techniques were used to collect the data? Is there possible sampling bias and/or variability? Have you organized the data (in tables and graphs) in a way that facilitates its manipulation and retrieval? Have you computed the measures of one-variable statistics (mean, median, mode, range, interquartile range, variance, standard deviation) where appropriate? Have you included z-scores and percentiles where appropriate? Have you chosen a regression that models the relation between two variables? Have you described the relation between two variables by interpreting the correlation coefficient? Can the normal distribution be applied with the data in your project? Is it possible to consider probability problems associated with the data in your project? Can empirical probabilities be calculated and would this be appropriate in the context of your project? Is it possible and appropriate to determine expected values in the context of your project? Step #3: MAKE A REPORT: 1) Cover page including a title that makes the purpose of your project apparent. 2) A clear statement of the question to be considered (thesis + subthesis) 3) Description of procedure 4) Presentation of data using tables, charts, graphs (from previous steps) 5) Summary of statistics 6) Analysis of data including calculations 7) Validity of data 8) Visible trends 9) Reasoning for trends 10) Additional research to support conclusions 11) Relevance to social justice issues 12) Limitations of Data 13) Possible Future considerations 14) FInal conclusions
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