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.
