# Statistics Project: Vehicle Efficiency

Statistics Project: Vehicle Efficiency
Due:
In this project, you will be using data to calculate various statistical values such as: mean, median, mode, maximum, minimum, standard deviation and z-scores. You will compare the data to your personal information. You will also create tables and graphs to help analyze the data. You will be asked to reflect on your findings.
In this project you are required to do the following:
• Use Excel to find the following statistics for the given data: Mean, median, mode, minimum, maximum, range, and Standard deviation of the MPG values.
2. Calculate the z-score of the mpg for your vehicle (or the vehicle that you are most commonly transported in).The MPG value can either be provided by the owner/operator of the vehicle, or obtained from https://www.fueleconomy.gov/feg/findacar.shtml or similar website.
3. Create visual representations of the data.
• Create a frequency distribution table for the type of vehicle. Excel’s ability to sort data will be useful for this, although you do not have to use Excel to determine the frequencies.
• Create an appropriate graph of the type of vehicle.
• Create a frequency distribution table of the frequency of mpg values for the data. To do this you must first determine what range of values to use for each class interval. Excel’s ability to sort data will be useful for this, although you do not have to use Excel to determine the frequencies.
• Create theappropriate graph of the frequency of cars in the mpg value rangesfrom your frequency distribution table.
Include appropriate labels on your graphs.
4. Write a reflection paper about your experience with this data project. Remember that we are looking for elegant and sophisticated reasoning. Include the following items:
• Your name, course and name of the project.
• Reflect on and analyze the values you found in your spreadsheet:
o Quantify what types of vehicles were used by people in this survey.
o Report on the statistical values found for this data; what information did you learn from the statistics on this data. Which value best represents the ‘average’ MPG for this data set?
o How is the data distributed? Is it skewed? Explain. What does this tell you about the data? How is this reflected in your histogram?
• Interpret the meaning of the z-score for your vehicle. Explain what the z-score for your value tells you about your personal fuel efficiency.
• Explain your process for making the frequency tables and graphs. How/why did you decide to use your class-intervals? How/why did you determine what type of graph to use?
• Explain the advantage(s) of creating frequency tables and graphs of the data over leaving the data in the original form.
• Reflect on the results of your project. What did you learn by doing this project? How might Excel help you analyze data or calculatestatistics in the future?
• Be well organized and easy to follow.
• Have clearly labeled columns and statistics.
• Have titles and labels on graphs.
• The paper should be in paragraph form (not just bulleted answers!).
• Be clear to someone who is not familiar with the project.
• Provide support for your statements e.g. explain how values were found.
• Give specific values (i. e. quantify statements).
• Use appropriate representations (tables, color, formatting) that help the reader understand the project.
• Project should be your original work, copying someone else’s work is cheating, sharing your work with someone else is cheating.
MPG Car Type
26.4 car
23.8 car
31.5 car
30.0 car
25.8 car
24.2 car
26.4 car
24.0 car
24.9 car
22.0 car
22.1 car
23.0 car
24.0 car
18.0 car
18.0 car
24.0 van
12.6 van
21.0 van
23.0 suv
13.0 suv
20.1 suv
16.5 suv
21.0 suv
26.2 car
23.0 car
33.4 car
25.0 car
24.0 car
21.1 suv
14.0 suv
14.8 suv
14.9 suv
36.0 van
64.0 van
23.0 van
22.0 van
21.0 van
24.3 van
24.0 van
22.0 van
22.0 van
23.9 van
24.0 van
34.0 van
22.0 van
33.8 van
23.4 van
23.0 van
21.0 truck
18.0 truck
17.2 truck
17.0 truck
21.7 truck
18.0 truck
25.0 car
21.0 car
14.7 truck
16.4 suv
13.0 suv
11.8 suv
14.5 suv
16.0 suv
21.0 suv
14.7 suv
14.0 truck
12.0 truck
16.6 truck
17.0 truck
13.2 truck
12.0 truck
14.8 truck
14.9 truck
17.0 truck
14.5 truck
16.5 suv
21.0 car
23.0 car
16.7 suv
21.2 suv
16.8 suv
20.0 suv
24.0 suv
16.9 suv
12.4 truck
13.4 truck
14.8 truck
12.7 truck
12.0 truck
13.8 truck
14.5 truck
41.0 motorcycle
62.5 motorcycle
61.0 motorcycle
44.4 motorcycle
43.0 motorcycle
44.0 motorcycle
25.0 car
25.0 car
18.0 suv
18.0 truck
18.0 suv
25.0 car
27.0 car
18.0 truck
18.0 truck
35.0 car
17.0 suv
21.0 suv
26.4 van
27.0 van
34.0 van
31.0 van
26.0 van
26.0 van
28.7 van
38.0 motorcycle
39.0 motorcycle
32.0 motorcycle
25.0 car
12.0 truck
15.0 truck
27.0 suv
22.0 suv
19.0 suv
20.0 suv
16.7 suv
12.0 suv
18.2 suv
18.0 suv
14.6 suv
24.0 car
20.1 car
20.4 suv
15.0 suv
17.0 suv
15.5 suv
18.0 suv
17.0 suv
20.1 suv
20.0 suv
17.0 suv
29.0 car
27.0 car
31.0 van
20.4 van
31.0 van
32.4 van
26.7 van
25.0 van
24.6 van
17.0 suv
17.0 suv
19.8 suv
18.0 suv
26.0 van
26.7 van
27.0 van
28.0 van
25.4 van
25.0 suv
23.8 suv
33.8 suv
25.0 suv
34.0 car
23.0 suv
38.0 motorcycle
42.0 motorcycle
32.4 motorcycle
36.0 motorcycle
25.0 car
27.6 car
25.0 car
27.0 car
20.0 suv
22.0 suv
18.5 suv
13.7 suv
20.0 suv
17.0 suv
33.5 car
27.0 van
31.0 van
33.9 van
26.0 van
32.0 car
33.8 car
27.0 car
29.0 car
31.0 car
34.1 car
26.0 car
26.0 car
32.0 car
30.0 car
33.0 car
34.5 car
37.0 car
35.0 car
14.9 suv
18.0 suv
20.0 truck
20.0 truck
22.0 truck
16.5 truck
19.0 truck
17.6 truck
20.0 truck
29.4 car
26.0 car
29.0 car
29.0 car
24.0 car
43.4 car
29.0 car
26.0 car
28.8 car
24.6 car
22.4 car
23.1 car
23.0 car
24.0 car
44.0 motorcycle
41.2 motorcycle
28.6 motorcycle
32.8 motorcycle
35.4 motorcycle
34.0 motorcycle
30.4 van
29.0 van
28.0 van
28.7 van
26.0 van
26.0 van
26.0 van
32.9 car
14.2 truck
23.0 car
34.2 car
25.0 suv
20.5 car
25.4 car
31.8 car
12.4 truck
45.0 motorcycle
24.0 car
17.0 truck
21.0 car
16.0 suv
28.0 car
17.8 car