Comparing Males and Females in Driving School

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Comparing Males and Females in Driving School I am a business consultant brought in to have a look at the performance of a driving school. I have been given the raw data which shows, in no particular order, how different students have got on in their driving tests. Introduction: This experiment has the aim of proving the hypotheses (that I shall develop) by handling data and managing it effectively to instigate realistic results. The hypotheses will be based upon test results from a driving school. I am intending to explore the success of males and females in a driving school. I shall do this by testing the number of one hour lessons and the number of errors in a random sample of 30 males and 30 females. I aim to use this data to test several hypothesises. Data: The data which I will be using in this investigation has been gathered from an unknown driving school. I am acting as a business consultant brought in to have a look at the performance of said driving school. The raw data which I have been given is in list form and provides me with the performance of 239 students, of both sexes and includes: Ÿ The number of one hour lessons before successful test. Ÿ The total number of minor errors in test(s) taken. Ÿ The name of the instructor (4 different teachers). Ÿ The day of the test. Ÿ The time of the day of the test. The data is in no particular order and reflects a large range and variety of results and performances. I have taken a random stratified sample to give me 30 males and 30 females which I will use to test my hypothesises throughout my investigation. Here is an example of the data: Student Gender of Student Number of One-Hour Lessons before Successful Test Total Number of Minor Errors in Test(s) Taken Name of Instructor

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