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Impaired Driving

Impaired Driving. Analyzing Drunk Driving Trends in Canada. Thesis: A person is most likely to commit an impaired driving offence if they are: male, between the ages of 22-25, live in Saskatchewan, and are driving during weekend hours. The Rate of Impaired Driving:.

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Impaired Driving

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  1. Impaired Driving Analyzing Drunk Driving Trends in Canada Thesis:A person is most likely to commit an impaired driving offence if they are: male, between the ages of 22-25, live in Saskatchewan, and are driving during weekend hours.

  2. The Rate of Impaired Driving: • This graph represents a negative correlation, thus suggesting that the rate of Impaired Driving crimes has decreased since 1977. • Despite this decreasing pattern, impaired driving continues to remain a dangerous concern. Today in Canada, on any given night, 25% of the drivers on the road have been drinking; 6% of which are legally impaired. It is estimated that alcohol is involved in 50% of all fatal traffic accidents and in 30% of traffic injuries, killing over 2500 people a year.

  3. Variable One: Gender of the Driver

  4. Variable Two: Age of the Driver ● Age 22: Z Score: x- mean /sigma 450,000- 225,588= 224,412 / 107,154 = 2.09 =98th percentile ● Age 25: Z score: x-mean / sigma 350,000 – 225, 588= 124,412 / 107,154 = 1.16 = 88th percentile • Mean Offences:225,588 • Median Offences: 250,000 • Standard Deviation: 107, 154

  5. Variable Three: When the Person is Driving • The graph proves that weekend Impaired Driving offences are much higher than weekday Driving offences. • This trend is due to the social activity related to weekend driving vs. weekday driving.

  6. Variable Four: Location of Driving Habits • The Graph demonstrates a trend between provincial riding and impaired Driving offences. • Saskatchewan reported the highest number of offences, with 618,000, while Newfoundland reported the lowest, with 183,000.

  7. Variable Five: Alcohol Consumption Vs. Impaired Driving Offences • The scatter plot demonstrates a positive correlation between the two variables. • Based on this trend, it can be determined that there is a “Correlation” between the two variables. • Proof of “Causation” does not exist, simply because many factors influence impaired driving offences. • r=0.96 • Based on the proximity of the correlation coefficient to “1”, the correlation of this graph is strong.

  8. Conclusion: • Based on the the evidence presented in this report, it can be concluded that impaired driving is a prevalent and severe issue across the nation. • Through the analysis of each specific variable, it can be determined that a person is most likely to commit a crime of this nature if they are male, aged 22-25, live in Saskatchewan, and drive during weekend hours. Therefore, based on factual support, the thesis of this report has been confirmed.

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