This is an easy set of questions to get you started with Stata. It uses an old data set on cars from Consumer Reports that is built into Stata. To load the data into Stata, enter the following command in Stata’s command line: sysuse auto. To see what is in this data set, you can enter the Stata command describe.
a) Calculate the mean price of the automobiles in the data set. You can do this by writing summarize price in the command line. What was the mean price of automobiles in 1978?
b) Calculate the median price of the automobiles in the data set. You can do this by writing summarize price, detail in the command line. What was the median price of automobiles in 1978? What does the difference between the mean and median price indicate about the shape of the distribution for the price?
c) Make a histogram of the price of cars. You can do this by using the command histogram price. What shape does the histogram take? (Is it symmetric? Skewed?) Does the shape of the histogram coincide with what you guessed in part (b)?
d) Run the Stata command by foreign: summarize price and comment on the average price of cars for foreign versus domestic.
e) You can also obtain subgroup analysis using an if statement. Run the two commands summarize mpg if foreign==0 and summarize mpg if foreign==1, and comment on differences in average mpg between domestic and foreign cars.
f) The command histogram mpg,by(foreign) creates side by side histograms. Comment on the difference in distributions of mpg for domestic and foreign cars.
g) Make a scatter plot of the variables weight and length. You can use the command, scatter weight length. Does there appear to be any association between the variables? Also compute the correlation and covariance between weight and length.
h) Using the standard deviations of weight and length, show how the covariance divided by the standard deviations equals the correlation value.
Use the following data set listed below.
4099
4749
3799
4816
7827
5788
4453
5189
10372
4082
11385
14500
15906
3299
5705
4504
5104
3667
3955
3984
4010
5886
6342
4389
4187
11497
13594
13466
3829
5379
6165
4516
6303
3291
8814
5172
4733
4890
4181
4195
10371
4647
4425
4482
6486
4060
5798
4934
5222
4723
4424
4172
9690
6295
9735
6229
4589
5079
8129
4296
5799
4499
3995
12990
3895
3798
5899
3748
5719
7140
5397
4697
6850
11995
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