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Buscar

The make and model of the car


Enviado por   •  30 de Septiembre de 2012  •  Informes  •  341 Palabras (2 Páginas)  •  799 Visitas

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1. Self-outside: movement from Broncos to the Jets.

2. Other-inside: comparing himself with the other quarterback.

Recommendations:

Let him play some time all the matches.

Incentive if he reaches the starting quarterback job in more than the 50% of the season matches.

Tim Tebow’s foundation: donation.

Advertising in the screens of the stadium.

His face as corporate image (with the rest of the team), but he in the middle of the photo.

He came from the Broncos, but his moral now is really low because he has no recognistion: 12 snapshots in 58 ones of the team. He has asked for being traded.

The dataset "04cars.csv" contains a random sample of 412 new vehicles for the 2004 year. The variables included are:

Car Type The make and model of the car.

HMPG The car's highway miles per gallon.

SUV Is the car a sports-utility vehicle? (Yes or No)

I want you to display and describe the appropriate graphs and the appropriate summary statistics for these cars. Specifically, I want you write a one or two page report describing the data. Your report should include the following:

1. Create a bar chart that displays the number of SUVs and non-SUVs. Be sure to use appropriate labels in the chart. Also, create a frequency table displaying the counts of SUVs and non-SUVs.

2. Create a histogram that shows the distribution of each car's highway miles per gallon. Describe in words what you see in the histogram by noting its shape, its center, and its spread. Create a table that shows the appropriate summary statistics of HMPG (mean, median, quartiles, standard deviation, IQR, min, max, etc.). In your report, be sure to interpret in words the mean, median, standard deviation, and IQR in the proper context.

3. Does there appear to be any difference in highway miles per gallon between SUVs and non-SUVs? Create a side-by-side boxplot of HMPG between the two types of cars. Report any difference you might see, by noting the center of each distribution, the variability of each distribution, and any outliers (if any).

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