Statistician vs applied statistician

The differences between statisticians and applied statisticians can be seen in a few details. Each job has different responsibilities and duties. Additionally, a statistician has an average salary of $84,726, which is higher than the $57,811 average annual salary of an applied statistician.

The top three skills for a statistician include data analysis, statistical methods and statistical techniques. The most important skills for an applied statistician are MATLAB, SAS, and statistical analysis.

Statistician vs applied statistician overview

	Statistician	Applied Statistician
Yearly salary	$84,726	$57,811
Hourly rate	$40.73	$27.79
Growth rate	31%	31%
Number of jobs	17,782	2,335
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 63%	Bachelor's Degree, 69%
Average age	37	37
Years of experience	-	-

Statistician vs applied statistician salary

Statisticians and applied statisticians have different pay scales, as shown below.

	Statistician	Applied Statistician
Average salary	$84,726	$57,811
Salary range	Between $60,000 And $119,000	Between $25,000 And $129,000
Highest paying City	San Francisco, CA	San Francisco, CA
Highest paying state	California	California
Best paying company	The Citadel	Expedia Group
Best paying industry	Pharmaceutical	-

Differences between statistician and applied statistician education

There are a few differences between a statistician and an applied statistician in terms of educational background:

	Statistician	Applied Statistician
Most common degree	Bachelor's Degree, 63%	Bachelor's Degree, 69%
Most common major	Statistics	Statistics
Most common college	University of Pennsylvania	University of Pennsylvania

Statistician vs applied statistician demographics

Here are the differences between statisticians' and applied statisticians' demographics:

	Statistician	Applied Statistician
Average age	37	37
Gender ratio	Male, 63.2% Female, 36.8%	Male, 46.2% Female, 53.8%
Race ratio	Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%	Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%
LGBT Percentage	9%	9%

Differences between statistician and applied statistician duties and responsibilities

Statistician example responsibilities.

Manage Medicaid fraud and abuse portfolios by analyzing medical and pharmacy claims data.
Conduct analysis and large data management using SAS, SQL on UNIX.
Develop advanced statistical analysis using SPSS on quantitative and qualitative data
Conduct statistical analysis including sampling, multivariate analysis, factor analysis, time-series modeling, regression and logistic analysis.
Assist in the preparation of the NDA of Ambien.
Analyze extreme outputs of experimental tests for formulation chemists with JMP.

Applied statistician example responsibilities.

Develop SAS and MATLAB modules to automate these analyses and generate reports.
Attend Webinars from firms like FICO and SAS.
Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
Set up and maintain UNIX and LINUX machines.

Statistician vs applied statistician skills

Common statistician skills

Data Analysis, 9%
Statistical Methods, 9%
Statistical Techniques, 7%
Statistical Data, 6%
Logistic Regression, 5%
Research Projects, 5%

Common applied statistician skills

MATLAB, 35%
SAS, 20%
Statistical Analysis, 20%
Visualization, 14%
Regression, 8%
R, 4%