Statisticians are professionals who utilize statistical methods to collect, analyze, and interpret numerical data. Their job description typically involves designing surveys, experiments, or opinion polls; collecting data through various methods; analyzing data using statistical software; interpreting results; and presenting findings to help make informed decisions in various fields like business, healthcare, government, and academia. They also develop statistical models for forecasting and predicting trends.
This income data is sourced from the May 2023 Occupational Employment and Wage Statistics (OEWS) survey. The dataset is updated annually.
Annual Pay Distribution | Salary |
|---|---|
10th percentile | $74,790.00 |
25th percentile | $96,270.00 |
median (50th percentile) | $112,430.00 |
75th percentile | $150,520.00 |
90th percentile | $189,230.00 |
Hourly Pay Distribution | Hourly Rate |
|---|---|
10th percentile | $35.96 |
25th percentile | $46.29 |
median (50th percentile) | $54.05 |
75th percentile | $72.36 |
90th percentile | $90.98 |
Statisticians typically need a master’s degree in statistics, mathematics, or a related field for entry-level positions. Some statisticians also have a Ph.D., especially for research and academic positions. These programs often include coursework in statistical methods and theory, mathematics, data analysis, and computer science. Strong mathematical skills and proficiency in statistical software are essential. While high school education is required to pursue higher degrees in this field, completion of college (bachelor's and beyond) is necessary to become a statistician. Training for statisticians involves practical experience in applying statistical methods to real-world problems. This can include internships, research projects, and collaboration with experienced statisticians in various industries such as healthcare, government, finance, and technology. Statisticians often continue their education through workshops, seminars, and online courses to stay updated on the latest statistical techniques and tools. Continuous learning and staying abreast of developments in the field are crucial for success as a statistician.