มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒกแƒขแƒแƒขแƒ˜แƒกแƒขแƒ˜แƒ™แƒฃแƒ แƒ˜ แƒ›แƒ”แƒ—แƒแƒ“แƒ”แƒ‘แƒ˜ แƒ”แƒ™แƒแƒœแƒแƒ›แƒ˜แƒ™แƒแƒกแƒ แƒ“แƒ แƒ‘แƒ˜แƒ–แƒœแƒ”แƒกแƒจแƒ˜

A conceptual illustration of statistical methods and sampling techniques in economics, featuring graphs, charts, and a business setting.

Statistical Methods for Economists in Business

Test your knowledge of selective statistical methods used in economic research and business. This quiz consists of 10 questions that will challenge your understanding of sampling techniques and their applications.

  • Understand key concepts of statistical sampling
  • Explore different sampling methods
  • Enhance your skills in statistical analysis
10 Questions2 MinutesCreated by AnalyzingData42
มƒ›แƒ—แƒšแƒ˜แƒแƒœแƒ˜ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ˜แƒ“แƒแƒœ แƒจแƒ”แƒ แƒฉแƒ”แƒฃแƒš แƒœแƒแƒฌแƒ˜แƒšแƒก, แƒ แƒแƒ›แƒ”แƒšแƒ–แƒ”แƒ“แƒแƒช แƒขแƒแƒ แƒ“แƒ”แƒ‘แƒ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ แƒ”แƒฌแƒแƒ“แƒ”แƒ‘แƒ:
มƒ’แƒ”แƒœแƒ”แƒ แƒแƒšแƒฃแƒ แƒ˜ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ
มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ
มƒแƒ แƒแƒกแƒ แƒฃแƒšแƒ˜ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ
มƒแƒ แƒชแƒ”แƒ แƒ—แƒ˜
มƒ แƒแƒ›แƒ“แƒ”แƒœแƒ˜ แƒกแƒแƒฎแƒ˜แƒกแƒแƒ แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ?
มƒ”แƒ แƒ—แƒ˜
มƒแƒ แƒ˜
มƒกแƒแƒ›แƒ˜
มƒแƒ—แƒฎแƒ˜
มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ แƒแƒ›แƒ”แƒšแƒ˜ แƒฌแƒ”แƒกแƒ˜แƒก แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒแƒก แƒแƒ แƒแƒ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ แƒ“แƒแƒšแƒแƒ’แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ แƒแƒ˜แƒ›แƒ” แƒฌแƒ”แƒกแƒ˜แƒก แƒ›แƒ˜แƒฎแƒ”แƒ“แƒ•แƒ˜แƒ— แƒ“แƒ แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ แƒฎแƒ“แƒ”แƒ‘แƒ แƒฌแƒ˜แƒœแƒแƒกแƒฌแƒแƒ  แƒ แƒแƒ˜แƒ›แƒ” แƒ’แƒแƒœแƒ–แƒ แƒแƒฎแƒ•แƒ˜แƒก แƒ’แƒแƒ แƒ”แƒจแƒ”?
มƒ›แƒ”แƒฅแƒแƒœแƒ˜แƒ™แƒฃแƒ แƒ˜
มƒกแƒแƒ™แƒฃแƒ—แƒ แƒ˜แƒ•-แƒจแƒ”แƒ›แƒ—แƒฎแƒ•แƒ”แƒ•แƒ˜แƒ—แƒ˜
มƒขแƒ˜แƒžแƒฃแƒ แƒ˜
มƒ›แƒชแƒ˜แƒ แƒ” แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ แƒ”แƒฌแƒแƒ“แƒ”แƒ‘แƒ แƒ˜แƒกแƒ”แƒ— แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ— แƒ’แƒแƒ›แƒแƒ™แƒ•แƒšแƒ”แƒ•แƒแƒก, แƒ แƒแƒ›แƒšแƒแƒก แƒ“แƒ แƒแƒกแƒแƒช แƒจแƒ”แƒ˜แƒกแƒฌแƒแƒ•แƒšแƒ”แƒ‘แƒ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ˜แƒก แƒแƒ แƒแƒฃแƒ›แƒ”แƒขแƒ”แƒก:
15 แƒ”แƒ แƒ—แƒ”แƒฃแƒšแƒ˜
20 แƒ”แƒ แƒ—แƒ”แƒฃแƒšแƒ˜
25 แƒ”แƒ แƒ—แƒ”แƒฃแƒšแƒ˜
30 แƒ”แƒ แƒ—แƒ”แƒฃแƒšแƒ˜
มƒจแƒ”แƒ’แƒ•แƒ˜แƒซแƒšแƒแƒ แƒ—แƒฃ แƒแƒ แƒ แƒ›แƒชแƒ˜แƒ แƒ” แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ แƒ’แƒแƒ›แƒแƒ•แƒ˜แƒงแƒ”แƒœแƒแƒ— แƒ’แƒ”แƒœแƒ”แƒ แƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒกแƒžแƒ”แƒ แƒกแƒ˜แƒ˜แƒก แƒจแƒ”แƒกแƒแƒคแƒแƒกแƒ”แƒ‘แƒšแƒแƒ“?
มƒจแƒ”แƒ’แƒ•แƒ˜แƒซแƒšแƒ˜แƒ
มƒแƒ  แƒจแƒ”แƒ’แƒ•แƒ˜แƒซแƒšแƒ˜แƒ
มƒ แƒแƒ›แƒ”แƒšแƒ˜ แƒ›แƒ”แƒ—แƒแƒ“แƒ˜ แƒ’แƒแƒ›แƒแƒ˜แƒงแƒ”แƒœแƒ”แƒ‘แƒ แƒ›แƒ—แƒšแƒ˜แƒแƒœแƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒจแƒ”แƒ“แƒ”แƒ’แƒ”แƒ‘แƒ˜แƒก แƒ“แƒแƒกแƒแƒ–แƒฃแƒกแƒขแƒ”แƒ‘แƒšแƒแƒ“?
มƒžแƒ˜แƒ แƒ“แƒแƒžแƒ˜แƒ แƒ˜ แƒ’แƒแƒ“แƒแƒแƒœแƒ’แƒแƒ แƒ˜แƒจแƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒ—แƒแƒ“แƒ˜
มƒจแƒ”แƒ™แƒ แƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒ—แƒแƒ“แƒ˜
มƒ™แƒแƒ”แƒคแƒ˜แƒชแƒ˜แƒ”แƒœแƒขแƒ”แƒ‘แƒ˜แƒก แƒ›แƒ”แƒ—แƒแƒ“แƒ˜
มƒแƒ แƒชแƒ”แƒ แƒ—แƒ˜
มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ แƒ˜แƒชแƒฎแƒ•แƒ˜ แƒ’แƒแƒ›แƒแƒ˜แƒ—แƒ•แƒšแƒ”แƒ‘แƒ แƒคแƒแƒ แƒ›แƒฃแƒšแƒ˜แƒ—:
N=tpq/d
N=t/pq
N=tp/q
มƒแƒ แƒชแƒ”แƒ แƒ—แƒ˜
มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ แƒแƒ›แƒ”แƒšแƒ˜ แƒฌแƒ”แƒกแƒ˜แƒก แƒ“แƒ แƒแƒก แƒจแƒ”แƒ˜แƒ แƒฉแƒ”แƒ•แƒ แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒ˜แƒก แƒ›แƒ—แƒ”แƒšแƒ˜ แƒžแƒแƒ แƒขแƒ˜แƒ”แƒ‘แƒ˜, แƒกแƒ”แƒ แƒ˜แƒ”แƒ‘แƒ˜?
มƒ˜แƒœแƒ“แƒ˜แƒ•แƒ˜แƒ“แƒฃแƒแƒšแƒฃแƒ แƒ˜
มƒฏแƒ’แƒฃแƒคแƒฃแƒ แƒ˜
มƒกแƒแƒ”แƒ แƒ—แƒ
มƒกแƒ”แƒ แƒ˜แƒฃแƒšแƒ˜
มƒ แƒแƒ›แƒ”แƒšแƒ˜ แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒก แƒ“แƒ แƒแƒก แƒ’แƒ•แƒแƒฅแƒ•แƒก แƒกแƒแƒฅแƒ›แƒ” แƒแƒฃแƒชแƒ˜แƒšแƒ”แƒ‘แƒšแƒแƒ“ แƒแƒ แƒแƒ”แƒ แƒ—แƒขแƒ˜แƒžแƒฃแƒ  แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒแƒกแƒ—แƒแƒœ?
มƒขแƒ˜แƒžแƒฃแƒ แƒ˜
มƒ›แƒ”แƒฅแƒแƒœแƒ˜แƒ™แƒฃแƒ แƒ˜
มƒกแƒแƒ™แƒฃแƒ—แƒ แƒ˜แƒ•-แƒจแƒ”แƒ›แƒ—แƒฎแƒ•แƒ”แƒ•แƒ˜แƒ—แƒ˜
มƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ“แƒแƒ™แƒ•แƒ˜แƒ แƒ•แƒ”แƒ‘แƒ˜แƒก แƒ แƒแƒ›แƒ”แƒšแƒ˜ แƒกแƒแƒฎแƒ˜แƒก แƒ“แƒ แƒแƒก แƒแƒฆแƒแƒ  แƒฃแƒ‘แƒ แƒฃแƒœแƒ“แƒ”แƒ‘แƒ แƒจแƒ”แƒ แƒฉแƒ”แƒฃแƒšแƒ˜ แƒœแƒแƒฌแƒ˜แƒšแƒ˜ แƒ’แƒ”แƒœแƒ”แƒ แƒแƒšแƒฃแƒ  แƒ”แƒ แƒ—แƒแƒ‘แƒšแƒ˜แƒแƒ‘แƒแƒก แƒ“แƒ แƒ•แƒ”แƒ  แƒ›แƒแƒœแƒแƒฌแƒ˜แƒšแƒ”แƒแƒ‘แƒก แƒ›แƒแƒ แƒ˜แƒ’ แƒจแƒ”แƒ แƒฉแƒ”แƒ•แƒแƒจแƒ˜?
มƒ’แƒแƒœแƒฃแƒ›แƒ”แƒแƒ แƒ”แƒ‘แƒ”แƒšแƒ˜
มƒ’แƒแƒ›แƒแƒ›แƒ แƒ˜แƒชแƒฎแƒแƒ•แƒ˜
มƒ’แƒแƒœแƒ›แƒ”แƒแƒ แƒ”แƒ‘แƒ˜แƒ—แƒ˜
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