measurements of fuel consumption

measurements of fuel consumption

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.

attachment
project-spring_2017.docx