VocabDictionary
🇬🇧English to English[statistical skills]

statistical skills

/stəˈtɪstɪkl skɪlz/intermediate Level

English Meaning & Definitions

1.noun

The proficiency and capability to collect, analyze, interpret, and present quantitative data using mathematical theories and methods.

Example Sentences:
  • Strong statistical skills are essential for a career in data science and market research.
  • The job advertisement specifically requested candidates with advanced statistical skills, including proficiency in R and Python.
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Comprehensive Thesaurus Breakdown

Compare formal, informal, literary synonyms and register nuances for “statistical skills”.

Thesaurus Entry
Cultural Origin & Etymology

The term combines 'statistical,' derived from the New Latin 'statisticum' (performing affairs of state, from 'status' meaning state), and 'skills,' derived from Old Norse 'skil' meaning distinction, discernment, or knowledge. Together, the phrase reflects the modern competency of collecting, analyzing, interpreting, and presenting quantitative data.

Memory Aid & Mnemonic

Think of collecting 'Stats' (numbers) using your 'Skills' (abilities) to solve puzzles.

Frequently Asked Questions About “statistical skills

1. What is the meaning of “statistical skills” in English?

In English, statistical skills (noun) is defined as: “The proficiency and capability to collect, analyze, interpret, and present quantitative data using mathematical theories and methods.”.

2. How do you use “statistical skills” in a sentence?

Strong statistical skills are essential for a career in data science and market research.

3. What are English synonyms of “statistical skills”?

4. What is the etymology and word origin of “statistical skills”?

The term combines 'statistical,' derived from the New Latin 'statisticum' (performing affairs of state, from 'status' meaning state), and 'skills,' derived from Old Norse 'skil' meaning distinction, discernment, or knowledge. Together, the phrase reflects the modern competency of collecting, analyzing, interpreting, and presenting quantitative data.