2018Unpublished venueOpen access

AMSM- Estimation (Point and Interval)- Chapter Four

Mohammed R. Dahman

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Abstract

In statistics estimation is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. A thorough explanation of point and interval estimation are discussed. Four important steps to understand interval estimation were explained. In addition to the scenario for more than one population.

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In statistics estimation is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. A thorough explanation of point and interval estimation are discussed. Four important steps to understand interval estimation were explained. In addition to the scenario for more than one population.

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Available abstract

In statistics estimation is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. A thorough explanation of point and interval estimation are discussed. Four important steps to understand interval estimation were explained. In addition to the scenario for more than one population.

Key concepts: Interval estimation, Point estimation, Estimation, Interval (graph theory), Confidence interval, Point (geometry), Statistics, Computer science

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