1QMS230: Statistics for Finance and AccountingR GROUP PROJECTWINTER 2021DUE: April 11, 2021 by 11:59pm.MARKS: Total marks = 25 (or 10% of the final grade)PENALTY: There will be a 10% of the project -mark penalty for every day after the dueday (including weekends) that the project is late.Notes:1. No handwritten reports will be considered for marking … Continue reading “Statistics for Finance and Accounting | My Assignment Tutor”
1QMS230: Statistics for Finance and AccountingR GROUP PROJECTWINTER 2021DUE: April 11, 2021 by 11:59pm.MARKS: Total marks = 25 (or 10% of the final grade)PENALTY: There will be a 10% of the project -mark penalty for every day after the dueday (including weekends) that the project is late.Notes:1. No handwritten reports will be considered for marking purposes.2. Submit one copy of the project report per group, R script file and indicate yourgroup number and the names and student numbers of all the group members.Failure to indicate your group number will result in a zero grade. There will bepenalties for the inclusion of unnecessary.3. Present your solution for Hypothesis testing according to the template shown inclass. All relevant R outputs must be included.4. Upload your R script file together with your report online via D2L under GroupDiscussion.5. The report must be a single file and in PDF format only. Failure to follow this mayresult in a zero mark.6. Read this entire document.You will analyze dataset comes from a random sample of the National CollisionDatabase for 2017. This data was retrieved from the Government of Canada website. Itincludes all motor vehicle collisions in Canada on public roads in 2017 which have been reportedto the police. This data set contains a variety of data variables which are summarized in the datadictionary posted on the Government of Canada website.Source:Government of Canada. (2017). National Collision Database.Your data set was randomly resampled from a big data set that consist of more records. So,please be aware that each group will have its own data set. You will only focus on the relevantvariables and answer each question.2Description of Data Variables: VariableDescriptionYearMonth01-January up until 12-DecemberDay of week01-Monday up until 07-SundayCollision hour00-Midnight to 0:59 to 23-23:00 to 23:59Collision severity1 – fatal or 2 – non-fatalNumber of vehiclesinvolved in collisionWeather condition1 – clear and sunny, 2 – cloudy, 3 – raining, 4 – snowing, 5 – freezing rain, 6– limited visibility, 7 – strong windRoad surface1 – dry, 2 – wet, 3 – snow, 4 – slush, 5 – icy, 6 – sand/gravel/dirt, 7 – muddy,8 – oil, 9 – floodRoad alignment1 – straight and level, 2 – straight with gradient, 3 – curved and level, 4 –curved with gradient, 5 – top of hill, 6 – bottom of hillVehicle IDVehicle typeSee BelowVehicle model yearPerson IDPerson sex01 – Female, 02 – MalePerson agePerson positionSee BelowMedical treatmentrequired1 – no injury, 2 – injury, 3 – fatalitySafety device used01 – none, 02 – safety device used, 09 – helmet worn, 10 – reflectiveclothing worn, 11 – helmet and reflective clothing, 12 – other safety deviceused, 13 – no safety device equippedRoad user class1 – Motor Vehicle Driver, 2 – Motor Vehicle Passenger, 3 – Pedestrian, 4 –Bicyclist, 5 – Motorcyclist Vehicle Type CodeDescription01Light Duty Vehicle (Passenger car, Passenger van, Light utility vehicles and 3 light duty pick up trucks)05Panel/cargo van
