It is unknown the method used for obtaining the data, but it is most likely simple random sampling because the types of colleges are not even in frequency. 38 rows with missing data in certain columns were deleted. I used three variables.
The first variable is starting median salary. It is a quantitative variable. The data is shown in U.S. dollars.
Summary statistics:
Column 
n 
Mean 
Variance 
Std. dev. 
Std. err. 
Median 


Starting Median Salary 
231 
45825.108 
37459715 
6120.4342 
402.695 
44700 

The mean starting median salary for these colleges is $45,825.11 and the standard deviation is $6,120.43.
Frequency table results for Starting Median Salary:
Count = 231
Starting Median Salary  Frequency  Relative Frequency 

30000 to 35000  1  0.0043290043 
35000 to 40000  26  0.11255411 
40000 to 45000  95  0.41125541 
45000 to 50000  67  0.29004329 
50000 to 55000  21  0.090909091 
55000 to 60000  11  0.047619048 
60000 to 65000  8  0.034632035 
65000 to 70000  1  0.0043290043 
70000 to 75000  1  0.0043290043 
The majority of starting median salaries are between $40,000 and $50,000 with a relative frequency of 41.13%. Between $30,000 and $35,000, $65,000 and $70,000, and $70,000 and $75,000 there is only a frequency of one and a relative frequency of .43%. I used bins because there are a lot of unique data values. I did not use cumulative frequecny as there is no order to this data.
The histogram shows that the majority of starting median salaries are between $40,000 and $45,000. Few schools are below $35,000 and $65,000. The histogram is unimodal and right skewed. The graph does not appear to be normal as it does not follow the shape of a normal curve and is skewed.
Summary statistics:
Column  Median  Min  Max  Q1  Q3 

Starting Median Salary  44700  34800  72200  41900  47800 
The minimum starting median salary for these schools is $34,800 and the maximum is $72,200. The majority of salaries fall between $41,900 and $47,800.
Upper Fence: 56,650
Lower Fence: 33,050
There are outliers
There is a 44.96% chance that the starting median salary for a college is greater than or equal to $46,600.
There is a 23.095% chance that the starting median salary for a college is between $42,500 and $46,200.
Variable 2: MidCareer Median Salaries
This is a quantitative value.
The average midcareer median salary is 82666.234 dollars and the standard deviation is 14016.294 dollars.
These results were binned as there are several unique data values. The majority of midcareer salaries are between $80,000 and $100,000. There are also several values between $60,000 and $80,000. Few arre above $120,000 and below $60,000.
I did not include cumulative frequencies because there is no orderto these data values.
The graph is boimodal and somewhat normal as there is no significant skewness. The majority of the data falls between $65,000 and $85,000.
The minimum midcareer median salary is $43,900 and the maximum salary is $134,000. The median midcareer salary is $81,300. 50% of the salaries fall between $73,000 and $87,900.
Upper Fence: 110,250
Lower Fence: 50,650
There are outliers
There is a 2.56% chance that a college will have a midcareer median salary greater than $110,000.
There is a .26% chance that a college will have a midcareer median salary between $35,800 and $44,100.
Variable 3: School Type
This variable is qualitative.
The majority of the colleges are state with only 8 Ivy Leauge schools. 75.76% of the sampled schools are state colleges. The data is not binned because there only a few categories. Cumulative frequencies are not included because there is no order to the data.
About three quarters (75.76%) of the sample schools are state. 6.49% are engineering schools. 3.46% are Ivy league. 6.06% are liberal arts and 8.23% are party.
Summary statistics:

Summary statistics:

Frequency table results for MidCareer Median Salary:
Count = 231

Summary statistics:

Summary statistics:

Frequency table results for School Type:
Count = 231

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Nov 8, 2017
Need to claim the level of meausrement for all the variables. A brief introduction for the data will be better for understanding the background. Excellent Report.