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Time study statistician vs applied statistician

The differences between time study statisticians and applied statisticians can be seen in a few details. Each job has different responsibilities and duties. Additionally, an applied statistician has an average salary of $57,811, which is higher than the $57,065 average annual salary of a time study statistician.

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

Time study statistician vs applied statistician overview

Time Study StatisticianApplied Statistician
Yearly salary$57,065$57,811
Hourly rate$27.44$27.79
Growth rate31%31%
Number of jobs1,8122,335
Job satisfaction--
Most common degreeMaster's Degree, 44%Bachelor's Degree, 69%
Average age3737
Years of experience--

Time study statistician vs applied statistician salary

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

Time Study StatisticianApplied Statistician
Average salary$57,065$57,811
Salary rangeBetween $25,000 And $127,000Between $25,000 And $129,000
Highest paying City-San Francisco, CA
Highest paying state-California
Best paying company-Expedia Group
Best paying industry--

Differences between time study statistician and applied statistician education

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

Time Study StatisticianApplied Statistician
Most common degreeMaster's Degree, 44%Bachelor's Degree, 69%
Most common majorCriminal JusticeStatistics
Most common collegeUniversity of PennsylvaniaUniversity of Pennsylvania

Time study statistician vs applied statistician demographics

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

Time Study StatisticianApplied Statistician
Average age3737
Gender ratioMale, 64.3% Female, 35.7%Male, 46.2% Female, 53.8%
Race ratioBlack 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 Percentage9%9%

Differences between time study statistician and applied statistician duties and responsibilities

Time study statistician example responsibilities.

  • 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.

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.

Time study statistician vs applied statistician skills

Common time study statistician skills
  • Statistical Methods, 100%
Common applied statistician skills
  • MATLAB, 35%
  • SAS, 20%
  • Statistical Analysis, 20%
  • Visualization, 14%
  • Regression, 8%
  • R, 4%

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