A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles.

Project 1 is about finding and analyzing thedescriptive statisticsin a database. To com. this assignment, you will:

1. Open theFuel Economy databaseby clicking on the"Link to Project 1 Database"and opening the database inStatCrunch (see image below).This data includesaverage MPG, the vehicle weight, the VehicleNumber, Type, Fuel Tank Size(Gallons), Engine Size(Liters), and Meet or Not Meet Current Standards.
2. Read the description of the project given below.After opening the database, answer the questions listed. (You do not have to answer the question included in MyLabStats as it will not be counted.)
3. If you have questions on the assignment, you may ask other students for help using the discussion board link included in this project folder. The instructor will also chime in and help if necessary.Do not post numerical answers in the discussion board, but any other discussion on procedures, etc. is welcome.

Fuel Economy Data

A government agency wants to investigate how the nation's automobiles contribute to fuel consumption and energy demands. Before a study design is constructed and research is performed, researchers want to first get a good baseline of the nation's automobiles. You are hired as a data analyst to help them in this task. Answer the questions below about the nation's fuel economy and automobiles.

Question one:

After the researchers met with government officials to outline the project, they came to you for help understanding the data. As a data analyst you were given the task of describing the mileage data in the sample. Using StatCrunch, thoroughly explore theAverage MPGdata, listing thedescriptive statisticsyou have learned in Module 2 (you do not have to find outliers for this part). One researcher asks you specifically to give him an idea of the gas mileage of a typical car and how much the vehicles tend to vary from one another. state a statement to answer this after listing the descriptive statistics (do not simply state the mean alone).

Question two:

Find the boundaries for the outliers in theAverage MPGdata, identify any outliers, and make a statement of your findings. Use the method for this presented in Module 2 Lesson 5.

Question three:

Select the type of data and level of measurement contained by the columnVehicle Weight.

Qualitative - Nominal

Qualitative - Ordinal

Quantitative - Interval

Quantitative - Ratio

Question four:

Select the type of data and level of measurement contained by the column:Meet or Not Meet.

Qualitative - Nominal

Qualitative - Ordinal

Quantitative - Interval

Quantitative - Ratio

Question five:

Build a histogram with 9 or 10 classes for theVehicle Weightdata. Select the distribution below that best describes thedistribution of the data(it doesn't have to be exact, but the best description).

Symmetric and Bell Shaped

Skewed Left

Skewed Right

Uniform

Question six:

Determine if their are any outliers in theEngine Sizedata. If there are outliers, select them below.

The outliers are 2.04, 2.29, 5.05, and 5.17

The outliers are 2.04, 2.29, and 5.17

The outliers are 2.04, 5.05, and 5.17

The outliers are 2.04, 2.29, 4.79, 5.05 and 5.17

There are no outliers

There are outliers, but none of those presented are correct.

Question seven:

Construct a histogram with 9 or 10 classes for theEngine Sizedata. Looking at the shape of the distribution, is it possible to use the Empirical Rule?

No, because the data is skewed left.

No, because the data is skewed right.

Yes, because the data has a bi-modal distribution.

Yes, because the data has a uniform distribution.

Yes, because the data has a bell-shaped distribution.

Question eight:

Using theEngine Sizedata, approximately what percent of the engines are between 2.63 and 4.55 liters?

50

68

95

99.7

None of the above.

It's not possible to find.

Question nine:

Again, looking at theEngine Sizedata, approximately 99.7% of the engines are between what size? If this calculation is not appropriate, state this conclusion.

Between 2.15 and 5.03.

Between 2.63 and 4.55.

Between 3.11 and 4.07.

Between 1.34 and 4.52.

None of the above.

The distribution does not allow this type of calculation.

Question ten:

Looking over the exercises above, idefine what you think it mean to explore a database using Descriptive Statistics. Give specific examples of the statistics you calculate when you look at descriptive statistics and comment on possible distributions of the data we have studied.