Statistics Project

2. This histogram is unimodal, is basically symmetric, but is slightly reorient office. The centre of attention of the histogram is betwixt 90 and 110, but much precisely, is 102. The IQR is 46 rating points, the threadb be exit is 29.6, and the overall range of the rating points is 111. The Data mount says that 100 represents fair(a) result for all cars, yet, for Mid-Size Cars, in that respect is a larger reckon of cars with a rating high(prenominal) than 100, than the number of cars with a rating lower than 100. This suggests that Mid-Size Cars are less adept than the different types of cars that were reviewed ( miniscule Cars and Large Cars). This Mid-Size Car data would run through shifted the honest up, therefore, one or both of the other types of cars must check fewer Automobile Insurance Injury Losses in 2000-2001. venial CarsMid-Size CarsLarge Cars Maximum24716992 Q314712577 Median133.510268 Q11047957.5 Minimum635839 Mean134.5104.668.1 Standa rd Deviation50.329.614.2 4. See attached 5. Both the Small and Mid-Size cars would produce a relatively unimodal histogram graph. Both types of cars would get histogram graphs that would be skewed right, the Small Cars histogram graph being more skewed to the right than that of the Mid-Size Cars.

While the minimum of both the Small Cars Ratings and the Mid-Size Cars are very(prenominal) close, their maximums differ greatly, the Small Cars Maximum rating being a lot higher. This fact alone causes the Small Cars mean, standardized deviation, and maximum (evidently) to be much higher than that of the Mid-Size Cars. Further, the Small Cars Ratings center is ! a higher number than the Mid-Sized Cars, shifting all of the value not mentioned higher up (Q1, Q2, IQR) up, or to a higher value. 6. See attached 7. there are no outliers in spite of appearance the ratings of the Large Cars because none of the ratings are extreme in similarity to the other Large Cars ratings. Yes, there is a ranch between the ratings of 190 and 221, but this gap is not...

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