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Biostatistics (생물통계학) Lecture 2 Introduction to Data Analysis Doo-Hyung Lee, Department of Life Sciences

Transcript of Biostatistics - KOCWcontents.kocw.net/KOCW/document/2014/gacheon/leedoohyung/... · 2016. 9. 9. ·...

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Biostatistics (생물통계학)

Lecture 2 Introduction to Data Analysis

Doo-Hyung Lee, Department of Life Sciences

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General information

• 이두형: [email protected]; 진리관 403C; 031-750-5408

• Office hours: by appointment

• Textbook: Glover & Mitchell, An Introduction to Biostatistics, McGraw-Hill

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I was in the subway yesterday.

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Biostatistics

생물은 OOOOO. 통계는 OOOOO. 생물통계는 OOOOO.

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Biostatistics

나는 너보다 키가 크다. 우리는 너희보다 키가 크다.

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Biostatistics

가천인은 하버드인보다 키가 크다.

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Lecture 2

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Scientific method

1. Observation of a particular event

2. Statement of the problem

3. Formation of a hypothesis

4. Making a prediction

5. Design of the experiment

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1. Observation of a particular event

• Quantitative observations:

• Qualitative observations:

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2. Statement of the problem

• A series of observations often leads to the finding of a particular problem or unanswered question.

• This usually takes the form of a “why” question.

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3. Formulation of a hypothesis

• A hypothesis is a “tentative” explanation for the observations made.

• A good hypothesis suggests a cause and effect relationship and is testable.

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4. Making a prediction

• Predictions take the form of an “if-then”.

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5. Design of the experiment

• One goal: to test the hypothesis.

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5. Design of the experiment

• How would you design an experiment to test the diet hypothesis in the hypertensive population?

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Bryan Butler said….

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Setting up a controlled experiment

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Setting up a controlled experiment

Control Treatment

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Populations vs. Samples

• Koreans are taller than Americans.

• Ladybeetles in Korea are larger than ones in the U.S.

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Populations vs. Samples

• Koreans are taller than Americans.

• Ladybeetles in Korea are larger than ones in the U.S.

Population (parameter)

Sample (statistic)

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Let’s summarize the data

• Measures of central tendency – Mean – Median – Mode

• Measures of dispersion and variability

– Range – Variance – Standard deviation

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Lecture 2

• Scientific method

• Populations vs. samples

• Measures of central tendency

• Measures of dispersion and variability