Interpret Population and Sample Variances in Google Sheets

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Coursera Project Network
학습자는 이 무료 안내 프로젝트에서 다음을 수행하게 됩니다.

Understand variance and what it tells us.

Conduct an analysis of variance on the population and several samples.

Conduct a t-test to examine the difference between two groups when the variance is not known.

인터뷰에서 이 안내형 체험 보여주기

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

The term “analysis of variance” might sound like a sophisticated data science technique and while that may be true some of the time, for the most part analysis of variance is a basic descriptive statistical tool to understand differences between groups in a data set and to learn whether a sample pulled from a larger population is statistically valid because it fairly represents the entire data set. Interpreting variance statistics accurately can mean the difference between finding actions in your data and not finding any. In your Interpret Population and Sample Variances in Google Sheets project, you will gain hands-on experience generating variance statistics, interpreting them, and you will perform a t-test to approach understanding differences in two samples when the variance is unknown. To do this you will work in the free-to-use spreadsheet software Google Sheets. By the end of this project, you will be able to further your business intelligence goals by confidently analyzing and interpreting variance in a data set using any spreadsheet software. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

요구 사항

Some familiarity with spreadsheet software will be helpful.

개발할 기술

Statistical SignificanceRisk MitigationBusiness IntelligenceUnderstanding VarianceLeveraging Statistics

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Review variance statistics and what they report.

  2. Explore variance calculations and how they support understanding a data set.

  3. Consider use cases for analysis of variance, import data into Google Sheets and evaluate the data set.

  4. Conduct an analysis of variance.

  5. Conduct a t-test and report the findings.

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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