Chapter 2
Biostatistics: Introduction
생물통계학: 개요
Biostatistics is the application of statistical methods to analyze data by conducting experiments to gather evidence and drawing conclusions based on ...
데이터: 유형 및 분포
In biostatistics, data refers to the collected observations that are subject to analysis. Data can be parametric or nonparametric.
Nonparametric data ...
중심 경향: 분석
Measures of central tendency are descriptive statistical tools that describe the average or center of a data set.
These include mean, median, mode, and ...
가변성: 분석
Measures of variability are vital in biostatistics for describing a dataset's dispersions and highlighting deviations between individual data points.
...
통계적 가설 검정(Statistical Hypothesis Testing)
A hypothesis is a proposed explanation or assumption about a population parameter that serves as the basis for testing and analysis.
The null hypothesis, ...
가설 검증의 정확성과 오류
A hypothesis test starts with the assumption that the null hypothesis is true.
Two types of errors can occur in a hypothesis test. Type I error is the ...
파라메트릭 데이터를 분석하기 위한 통계적 방법: ANOVA
ANOVA, or Analysis of Variance, analyzes parametric statistical data by comparing means among multiple groups to determine their statistical ...
모수 데이터를 분석하기 위한 통계적 방법: Student t-test 및 Goodness-of-fit test
The Student t-test examines if there is a significant difference between the means of two groups.
It is suitable for data that follows a normal ...
가설 검증의 통계적 추론 기법: 파라메트릭 대 비파라미터 데이터
Parametric statistical methods, like the Student t-test or goodness-of-fit test, assume that data follows a specific distribution, enabling robust ...
바이오 제약 연구의 유형: 통제 및 비통제 접근법
Biopharmaceutical studies aim to study drug delivery and improved therapies using interdisciplinary knowledge.
Non-controlled studies, often used for ...
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