Hey all! Results of my salary survey are in: First things first: The data! It can be found (along with my super simple python stats script) here. https://github/benjamincohen1/Salary_Data My Cleaning of the data consisted of: Taking out any currency symbols (ie people entering $9000 instead of 9000) and commas (9,000 instead of 9000) and removing two data points (though if any of you are actually 14-15 and making 300,000/month let me know and Ill put you back in). Before my results, a few notes. First, theres not really enough data to make too many statistically significant observations, and lots of categories only had a handful of data points. Lots of my standard deviations were well over 3,000, so take all of this with a grain of salt. Anyways, my observations, in no particular order: Males and females do not make a statistically significant (p=.7905) amount of money (huzzah!) Female: Average: 5012.609375 Standard Deviation: 1961.13964191 Num Datapoints: 16 Male: Average: 5244.99229885 Standard Deviation: 3351.12994014 Num Datapoints: 87 Prefer not to answer: Average: 7200.0 Standard Deviation: 0.0 Num Datapoints: 1 Bigger Companies pay more money: 1-50: Average: 4164.03911765 Standard Deviation: 3155.31623565 Num Datapoints: 34 51-500: Average: 5030.375 Standard Deviation: 3539.61150543 Num Datapoints: 16 501+: Average: 5956.53240741 Standard Deviation: 2843.01912669 Num Datapoints: 54 There is no apparent correlation between salary and satisfaction Looking ONLY at the 18-23 age range, older people make more money. There wasnt enough data to include my other age ranges. Discuss? Simple raw analysis below, and you can run it yourself if you have numpy/scipy installed: 14-15: Average: 4545.0 Standard Deviation: 4697.80001703 Num Datapoints: 4 16-17: Average: 2430.28571429 Standard Deviation: 1709.90089222 Num Datapoints: 14 18-19: Average: 3875.65740741 Standard Deviation: 2063.25024867 Num Datapoints: 27 20-21: Average: 5980.65 Standard Deviation: 2725.27103744 Num Datapoints: 40 22-23: Average: 7593.095 Standard Deviation: 3458.24073134 Num Datapoints: 14 24-25: Average: 6270.0 Standard Deviation: 2130.0 Num Datapoints: 2 26+: Average: 9600.0 Standard Deviation: 1177.56811551 Num Datapoints: 3 Female: Average: 5012.609375 Standard Deviation: 1961.13964191 Num Datapoints: 16 Male: Average: 5244.99229885 Standard Deviation: 3351.12994014 Num Datapoints: 87 Prefer not to answer: Average: 7200.0 Standard Deviation: 0.0 Num Datapoints: 1 t-statistic = 0.266 pvalue = 0.7905 Full Time: Average: 7329.2165 Standard Deviation: 2911.00017014 Num Datapoints: 20 Internship: Average: 4727.75892857 Standard Deviation: 3016.63766662 Num Datapoints: 84 In High School: Average: 2795.25 Standard Deviation: 2809.59221908 Num Datapoints: 16 Masters or PhD: Average: 6820.0 Standard Deviation: 3598.63863148 Num Datapoints: 4 Only finished high school or college drop out: Average: 8916.665 Standard Deviation: 583.335 Num Datapoints: 2 Undergraduate (Completed): Average: 7709.25 Standard Deviation: 2141.67213196 Num Datapoints: 12 Undergraduate (in progress): Average: 5162.39642857 Standard Deviation: 2935.4068471 Num Datapoints: 70 1-50: Average: 4164.03911765 Standard Deviation: 3155.31623565 Num Datapoints: 34 501+: Average: 5956.53240741 Standard Deviation: 2843.01912669 Num Datapoints: 54 51-500: Average: 5030.375 Standard Deviation: 3539.61150543 Num Datapoints: 16 Bay Area: Average: 6221.93548387 Standard Deviation: 2907.46139059 Num Datapoints: 31 Boston: Average: 5092.2 Standard Deviation: 1675.6214847 Num Datapoints: 5 Los Angeles: Average: 1346.0 Standard Deviation: 1876.66299585 Num Datapoints: 3 New York City: Average: 7423.63636364 Standard Deviation: 4169.49805727 Num Datapoints: 11 Other: Average: 3835.40666667 Standard Deviation: 2705.78745428 Num Datapoints: 42 Philadelphia: Average: 3600.0 Standard Deviation: 0.0 Num Datapoints: 1 Seattle: Average: 6817.27272727 Standard Deviation: 1242.60789478 Num Datapoints: 11 1: Average: 10800.0 Standard Deviation: 0.0 Num Datapoints: 1 2: Average: 3200.0 Standard Deviation: 1800.0 Num Datapoints: 2 3: Average: 7800.0 Standard Deviation: 3300.0 Num Datapoints: 2 4: Average: 2700.0 Standard Deviation: 0.0 Num Datapoints: 1 5: Average: 554.0 Standard Deviation: 736.985752915 Num Datapoints: 4 6: Average: 5506.0 Standard Deviation: 2939.49757612 Num Datapoints: 12 7: Average: 4799.16666667 Standard Deviation: 3199.19380035 Num Datapoints: 24 8: Average: 5254.09090909 Standard Deviation: 2582.37024507 Num Datapoints: 22 9: Average: 6589.63157895 Standard Deviation: 3012.03521351 Num Datapoints: 19 10: Average: 4938.53411765 Standard Deviation: 3030.06605462 Num Datapoints: 17
Posted on: Tue, 07 Oct 2014 20:04:11 +0000
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