# Please do not waste my time if you do not know statistics.

Please do not waste my time if you do not know statistics.

This is part one of the homework. I will attach the file for the full homework.

CARS: A sample of 20 cars, including measurements of fuel consumption (city mi/gal and highway mi/gal), weight (pounds), number of cylinders, engine displacement (in liters), amount of greenhouse gases emitted (in tons/year), and amount of tailpipe emissions of NOx (in lb/yr).

 CAR CITY HWY WEIGHT CYLINDERS DISPLACEMENT MAN/AUTO GHG NOX Chev. Camaro 19 30 3545 6 3.8 M 12 34.4 Chev. Cavalier 23 31 2795 4 2.2 A 10 25.1 Dodge Neon 23 32 2600 4 2 A 10 25.1 Ford Taurus 19 27 3515 6 3 A 12 25.1 Honda Accord 23 30 3245 4 2.3 A 11 25.1 Lincoln Cont. 17 24 3930 8 4.6 A 14 25.1 Mercury Mystique 20 29 3115 6 2.5 A 12 34.4 Mitsubishi Eclipse 22 33 3235 4 2 M 10 25.1 Olds. Aurora 17 26 3995 8 4 A 13 34.4 Pontiac Grand Am 22 30 3115 4 2.4 A 11 25.1 Toyota Camry 23 32 3240 4 2.2 M 10 25.1 Cadillac DeVille 17 26 4020 8 4.6 A 13 34.4 Chev. Corvette 18 28 3220 8 5.7 M 12 34.4 Chrysler Sebring 19 27 3175 6 2.5 A 12 25.1 Ford Mustang 20 29 3450 6 3.8 M 12 34.4 BMW 3-Series 19 27 3225 6 2.8 A 12 34.4 Ford Crown Victoria 17 24 3985 8 4.6 A 14 25.1 Honda Civic 32 37 2440 4 1.6 M 8 25.1 Mazda Protege 29 34 2500 4 1.6 A 9 25.1 Hyundai Accent 28 37 2290 4 1.5 A 9 34.4

Part I

Generally the first step to analyze a dataset that is given to you is to identify the type of data, and picture the data using graphs etc. Use the data set above to answer the following questions:

1.      Assume that the car column represents all car models. Use the random number Table B, to generate a simple random sample of 15 car models from the set above.

2.      Classify all the columns: car, city, HWY, weight, cylinders, displacement man/auto GHG NOX according to the following:

i.                    Categorical or quantitative

ii.                  Discrete or continuous or none

iii.                Levels of measurement: nominal, ordinal, interval or ratio.

3.      Make a frequency distribution for MAN/AUTO

4.      Make a frequency distribution for DISPLACEMENT. (also include the column for cumulative frequency)

5.      Make a bar graph or pie chart for MAN/AUTO.

6.      Make a histogram for DISPLACEMENT.

i.                    Determine the type of skewness- left, right, symmetric or none.

ii.                  Determine the variability-high or low.

7.      Make a stemplot for CITY

i.        Determine the type of skewness- left, right, symmetric or none.

ii.      Determine the variability-high or low or none.

8.      Make a dotplot for CYLINDER.

i.                    Determine the type of skewness- left, right , symmetric or none.

ii.                  Determine the variability-high or low, or none.

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