728x90 반응형 Main/Biostatistics9 Biostatistics #4-1 (Describing Data: Variability) >> Although measures of central tendency are useful ways to summarize large sets of data, they do not tell the whole story. Specifically, not everyone is average. >> Many people may perform near average, but others demonstrate performance that is far above (or below) average. Put simply, people are different. >> We need to study diversity (differences that exist from one person to another) and c.. 2022. 3. 18. Biostatistics #3 (Describing Data: Central Tendency 집중경향성) We need a method to summarize each group as a whole so that we can objectively describe how much difference exists between the two groups. Central Tendency (집중 경향성) : 모집단이나 표본으로부터 얻어진 자료가 어떤 특정 값을 중심으로 분포를 형성하는 경향 (= 점수값이 어떤 식으로 분포되어 있는지) : a statistical measure to determine a single value that defines the center of a distribution. ==> The goal of central tendency is to find the single value tha.. 2022. 3. 16. Biostatistics #2-3 (Rank & Percentile, 등수 & 백분위) Raw data by themselves are not very informative. Knowing the rank of an individual measurement with respect to the entire sample is more informative. The rank (등수) or percentile rank (백분위 등수) is the percentage of individuals with scores at or below the particular value. When a particular score is identified by its rank, we call it a percentile. Percentile: What score has this % or scores below i.. 2022. 2. 8. Biostatistics #2-2 (Shape of Distribution, 분포의 모양) Characteristics of Distribution Shape Central Tendency (where the center is located) --> skewedness Variability: how spread out the scores are) --> kurtosis Shape of a Frequency Distribution Normal Distribution (정규분포, = Gaussian Distribution) 도수분포곡선이 평균값을 중앙으로 하여 좌우대칭인 종 모양 (bell curve)을 이루는 것 종을 엎어 놓은 것과 같은 모양을 하고 있으며, 하나의 꼭지를 갖는 좌우 대칭적인 연속적 변인의 분포. Symmetrical and mathematically certain in mos.. 2022. 2. 5. 이전 1 2 3 다음 728x90 반응형
