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Statisticians

15-2041.00 Bright Outlook Bright

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

What EWU math students are doing right now

See all 6 projects →

Providence-St. Luke's HRV App

Ongoing
Partner: Providence-St. Luke's, EWU CS faculty

Apple Watch app for real-time heart-rate-variability monitoring of patients with PTSD and traumatic brain injury. Students process biosignal data and surface clinically relevant patterns to clinicians.

Signal processing Python Clinical data iOS health frameworks
Outcome: Ongoing interdisciplinary clinical research

STA Transit System Health

2025 (IEEE publication)
Partner: Spokane Transit Authority

Stochastic modeling of transit ridership and system health. EWU students built prognostics models predicting transit system stress; work was published at an IEEE conference.

Stochastic processes Prognostics Data analysis Health management
Outcome: Peer-reviewed IEEE conference publication (2025)

What education do people in this job actually have?

O*NET incumbent survey (2024)
Some college / associate's 10% Bachelor's degree 14% Graduate degree 76%

How EWU courses prepare you for this work (17 of 19 O*NET tasks have course evidence)

  • Independently research mathematical concepts
  • Synthesize pertinent mathematical background material
  • Demonstrate the ability to analyze algorithms to interpolate data with polynomials.
  • Employ the appropriate numerical technique to approximate a solution of an initial value problem, boundary value problem, or partial differential equation, with careful consideration of initial or boundary data.

use numerical schemes to find approximate solutions to initial value problems utilizing mathematical software such as Matlab or Mathematica.

Model a physical signal by using mathematical functions, and solve the equations when excited by an arbitrary function.

  • Compare the error from a numerical calculus approximation to the corresponding error estimate;
  • Employ and analyze a prescribed method to find a root of a nonlinear equation (with knowledge of the strengths and weaknesses of the approach);

Apply number theoretic techniques to cryptography

  • Apply group theoretic concepts to solve mathematical problems
  • Apply group theoretic concepts to the natural sciences

Use mathematical software to approximate solutions of biological models

  • Utilize quantitative methods to analyze linear and non-linear systems of differential equations
  • Utilize qualitative methods to analyze linear and non-linear systems of differential equations
  • Demonstrate knowledge of relationships between exponents and logarithms and their derivatives
  • Compute volumes using a variety of methods
  • Apply differential and integral calculus techniques to trigonometric functions, exponential functions, logarithmic functions and the inverses of these functions

Work with the applications of geometric transformations in the sciences

Explain the relationship between matroids and different algorithms for solving problems

Apply classical solution techniques to differential equation models of physical systems

Implement an iterative method to solve a problem (e.g. matrix decomposition, solution of a linear system of equations, determining eigenpairs of a matrix)

  • Analyze the asymptotic performance of algorithms.
  • Write rigorous correctness proofs for algorithms.
  • Use mathematical software to approximate solutions of biological models
  • Construct model equations from a description of a biological system

Independently research mathematical concepts

Apply the techniques of multiple integration and partial derivatives to applied problems

Work with the applications of geometric transformations in the sciences

Apply classical solution techniques to differential equation models of physical systems

  • Solve simple differential equations focusing on topics in economics.
  • Apply basic linear algebra to economic problems.

Explain the relationship between matroids and different algorithms for solving problems

  • Employ the appropriate numerical technique to approximate a solution of an initial value problem, boundary value problem, or partial differential equation, with careful consideration of initial or boundary data.
  • Demonstrate the ability to analyze algorithms to interpolate data with polynomials.
  • Utilize qualitative methods to analyze linear and non-linear systems of differential equations
  • Utilize quantitative methods to analyze linear and non-linear systems of differential equations

Apply differential and integral calculus techniques to trigonometric functions, exponential functions, logarithmic functions and the inverses of these functions

Apply group theoretic concepts to solve mathematical problems

Implement an iterative method to solve a problem (e.g. matrix decomposition, solution of a linear system of equations, determining eigenpairs of a matrix)

use numerical schemes to find approximate solutions to initial value problems utilizing mathematical software such as Matlab or Mathematica.

Apply non-parametric statistical tests

Model a physical signal by using mathematical functions, and solve the equations when excited by an arbitrary function.

Employ and analyze a prescribed method to find a root of a nonlinear equation (with knowledge of the strengths and weaknesses of the approach);

Devise a hypothetical research project for an AI topic of your choice

Interpret output from statistical software correctly

Use mathematical software to approximate solutions of biological models

Visualize models graphically

Work with the applications of geometric transformations in the sciences

Program a memory management simulation.

use numerical schemes to find approximate solutions to initial value problems utilizing mathematical software such as Matlab or Mathematica.

Demonstrate the ability to analyze algorithms to interpolate data with polynomials.

Independently research mathematical concepts

  • Write a professional report adhering to scholarly standards
  • Summarize the professional report in an oral presentation
  • Independently research mathematical concepts
  • Interpret output from statistical software correctly
  • Apply non-parametric statistical tests

Visualize models graphically

Sketch the qualitatively valid graph of the derivative of a function presented graphically (formulas not used)

Program a memory management simulation.

Use mathematical software to approximate solutions of biological models

Visualize models graphically

Interpret output from statistical software correctly

Demonstrate the ability to analyze algorithms to interpolate data with polynomials.

Work with the applications of geometric transformations in the sciences

Synthesize pertinent mathematical background material

  • Write a professional report adhering to scholarly standards
  • Summarize the professional report in an oral presentation
  • Independently research mathematical concepts
  • Interpret output from statistical software correctly
  • Apply non-parametric statistical tests

Investigate properties of a statistical estimator based on characteristics of bias, efficiency, consistency and sufficiency

Interpret output from statistical software correctly

Demonstrate the ability to analyze algorithms to interpolate data with polynomials.

Understand and use the heap data structure and its applications in sorting and priority queue.

Implement code that reads information from a file.

Understand multirate signal processing and fitlerbanks

Program a memory management simulation.

Investigate properties of a statistical estimator based on characteristics of bias, efficiency, consistency and sufficiency

  • Apply non-parametric statistical tests
  • Interpret output from statistical software correctly

Analyze a communication system and measure a performance in terms of probability of

  • Summarize the professional report in an oral presentation
  • Write a professional report adhering to scholarly standards

Visualize models graphically

Analyze a communication system and measure a performance in terms of probability of

Apply non-parametric statistical tests

Independently research mathematical concepts

Investigate properties of a statistical estimator based on characteristics of bias, efficiency, consistency and sufficiency

Devise a hypothetical research project for an AI topic of your choice

  • Apply group theoretic concepts to solve mathematical problems
  • Apply group theoretic concepts to the natural sciences
  • Prove results related to groups

Understand sampling theorem, upsampling and downsampling.

  • Independently research mathematical concepts
  • Write a professional report adhering to scholarly standards

Devise a hypothetical research project for an AI topic of your choice

Analyze a communication system and measure a performance in terms of probability of

Write a professional report adhering to scholarly standards

Write rigorous correctness proofs for algorithms.

Understand and use the heap data structure and its applications in sorting and priority queue.

Implement a hash table and use Java built-in HashTable/HashMap class.

Interpret output from statistical software correctly

Write a professional report adhering to scholarly standards

Apply non-parametric statistical tests

Write a professional report adhering to scholarly standards

Recent regional postings for this occupation

View all 69 postings from the last year →

5 most recent CareerOneStop listings for this occupation. "Live" in Quick Facts counts only postings the scraper re-confirmed in the last 7 days; older real postings still appear here until they age out.

Where to focus your applied learning (2 taskes without course evidence yet)

These O*NET tasks don't have direct course-objective evidence in the Math BS catalog yet. Each is an opportunity to gain hands-on preparation through an applied project, MAA-sponsored partnership, elective, or internship. The "What EWU math students are doing right now" panel above shows examples of exactly this kind of project-driven learning.

More O*NET details for this occupation (skills, knowledge, tools & technology)
Skills (42)
Basic Skills: Active Learning
Basic Skills: Active Listening
Basic Skills: Critical Thinking
Basic Skills: Learning Strategies
Basic Skills: Mathematics
Basic Skills: Monitoring
Basic Skills: Reading Comprehension
Basic Skills: Science
Basic Skills: Speaking
Basic Skills: Writing
+ 32 more on O*NET
Knowledge (3)
Computers and Electronics
English Language
Mathematics
Tools & technology (30)
Analytical or scientific software: Aptech Systems GAUSS
Analytical or scientific software: Automatic Forecasting Systems Autobox
Analytical or scientific software: Camfit Data Limited Microfit
Analytical or scientific software: Cytel StatXact
Analytical or scientific software: DataDescription DataDesk
Analytical or scientific software: Econometric Software LIMDEP
Analytical or scientific software: GraphPad Software GraphPad Prism
Analytical or scientific software: IBM SPSS Amos
Analytical or scientific software: IBM SPSS AnswerTree
Analytical or scientific software: IBM SPSS Statistics

O*NET's tools-and-technology list aggregates software encountered across the occupation's many sub-roles, so the list can be broad. Treat it as a directory of what people in this job might use, not a checklist of what every job requires.

Where this data comes from. Occupation descriptions, tasks, skills, and education-incumbents survey come from the U.S. Department of Labor's O*NET 30.2. Washington-state pay and employment projections come from WA Employment Security Department and the BLS Occupational Employment and Wage Statistics. Live job postings come from CareerOneStop, refreshed nightly from a scrape that tracks the original posting date and the date our system last saw each posting live.

How we connect courses to occupations. Course catalog descriptions and program-level learning outcomes are indexed alongside O*NET task statements. Where a course's language aligns with a task an occupation requires, we mark it as evidence of preparation. Faculty review each candidate match and either confirm or veto it; only confirmed matches surface in totals.

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