In this module, you will produce a brief research document about the subject of your data collection and analysis. The resources that you will use are the following databases in order to gather data that you can analyze for your own hypothesis test. Review these websites and their respective databases at this time for familiarity.Access the following websites to see what kinds of data are available:Runway Safety Statistics/FAA (Links to an external site.)Links to an external site.Aviation Accident Database and Synopses/NTSB (Links to an external site.)Links to an external site.FAA Aviation Safety Information Analysis and Sharing (ASIAS) (Links to an external site.)Accident and Incident Data/FAA (Links to an external site.)Airline On-time Statistics and Delay Causes/Bureau of Transportation Statistics (Links to an external site.)Links to an external site.Data and Statistics for Airport Program/FAA (Links to an external site.)Links to an external site.Airlines and Airports/Bureau of Transportation Statistics (Links to an external site.)General Aviation Statistics/AOPA (Links to an external site.)Links to an external site.Statistical Databook and Industry Outlook/GAMA (Links to an external site.)Historical Chart Gallery of Market Indexes/Stock Charts (Links to an external site.)Links to an external site.Injuries, Illnesses, and Fatalities/Bureau of Labor Statistics (Links to an external site.)Links to an external site.Data and Statistics/OSHA (Links to an external site.)Links to an external site.Data Sources/Health and Safety Executive (Links to an external site.)Links to an external site.Web-based Injury Statistics Query and Reporting System (WISQARS)/CDC (Links to an external site.)Links to an external site.Research and Data/NHTSA (Links to an external site.)Links to an external site.National Institute for Occupational Safety and Health Data and Statistics Gateway/CDC (Links to an external site.)Links to an external site.Video Steps to Complete the AssignmentView the YouTube video on how to select the appropriate statistical test:Choosing Which Statistical Test to Use – Statistics Help (9:32 YouTube) (Links to an external site.)to assist you to select the correct statistical test. See attached file for tableUtilize these videos to assist you in judging assumptions:Using Stat Crunch to Assess Normality (5:47 YouTube) (Links to an external site.)StatCrunch QQ Plot – Assessing Normality (1:01 YouTube) (Links to an external site.)Working with StatCrunch: One-Way Analysis of Variance (ANOVA) (8:55 YouTube) (Links to an external site.)Assumption GuidesBe sure to explain how your data meets these assumptions and perform the applicable tests in StatCrunch.Test Assumptions/Emory (Links to an external site.)Links to an external site.Assumptions/Restrictions for Chi-square Tests on Contingency Tables/Lakehead UniversityPearson’s Product-Moment Correlation using SPSS Statistics/Laerd Statistics (Links to an external site.)Linear regression models/Duke (Links to an external site.)EPS 625 – Intermediate Statistics Mann-Whitney U Test/Teori Online (Links to an external site.)Subchapter 12a. – The Wilcoxon Signed-Rank Test/Vassar Stats (Links to an external site.)Kruskal–Wallis test/Bio Stat Handbook (Links to an external site.)Research DocumentUsing the decision tree provided in this activity, create a document that presents a synopsis of your problem statement, hypothesis, and statistical test that you will use (this is a mini draft of your final paper (Condom Use and Prevalence of Sexually Transmitted Diseases). Explain the type of data you have decided to use and the assumptions of the test (for example parametric vs. non-parametric).

Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunch.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the frequency of the flicker is below a certain threshold, the eye detects the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects. Color ThresholdFrequency (CFF) Blue Brown Green Brown 26.8 25.7 26.8 26.4 Brown 27.9 27.2 27.9 24.2 Brown 23.7 29.9 23.7 28 Brown 25.0 28.5 25 26.9 Brown 26.3 29.4 26.3 29.1 Brown 24.8 28.3 24.8 Brown 25.7 25.7 Brown 24.5 24.5 Green 26.4 Green 24.2 Green 28.0 Green 26.9 Green 29.1 Blue 25.7 Blue 27.2 Blue 29.9 Blue 28.5 Blue 29.4 Blue 28.3 In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format. Each variable is a column (one column for the explanatory variable eye color; one column for the response variable CFF) and each row is an individual. For example, the first row is a brown-eyed person with a CFF of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format. In this format, each column is a group defined by a value of the explanatory variable: one column for blue-eyed people, one column for brown-eyed people and one column for green-eyed people. Each column contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters. Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note: To verify conditions, you will need to examine the distribution of CFF scores for each sample (because the samples are small). Use StatCrunch to create side-by-side dotplots, histograms or boxplots (your choice) to examine the distribution of CFF scores for each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data in the the last three columns). To create the side-by-side graphs (for either data format) see the list of StatCrunch directions below. Download the StatCrunch output window (your graph), upload it to your Stats-Class folder, and then embed the .png file (your graph) in your initial post. To recall how to complete these tasks, see the list of StatCrunch directions below. You will also need to compare the sample standard deviations. Use StatCrunch to find the summary statistics, means and standard deviations for the comparison groups (select the the appropriate Descriptive Statistics StatCrunch directions from the list below). Then copy and paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met. Use StatCrunch to carry out the ANOVA F-test (select the appropriate ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post. State your conclusion in context of eye color and mean CFF.