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週次 |
日期 |
單元主題 |
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第1週 |
9/12 |
1. Introduction
What is “Statistics”?
What do statistical data tell you?
How to conduct a biological study?
Development of biostatistics
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第2週 |
9/19 |
2. How to obtain statistic information?
Sample vs. population:
Parameters and statistics
Census vs. sampling
Representative sample
Table of a random numbers
Simple random sampling
Systematic random sampling
Cluster sampling
Stratified sampling
Margin of error
Experimentation and its principles
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第3週 |
9/26 |
2. How to obtain statistic information?
Sample vs. population:
Parameters and statistics
Census vs. sampling
Representative sample
Table of a random numbers
Simple random sampling
Systematic random sampling
Cluster sampling
Stratified sampling
Margin of error
Experimentation and its principles
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第4週 |
10/03 |
chapter 4. Descriptive Statistics
Shannon-Weaver diversity index
4. Descriptive Statistics
Kinds of statistic figures
Frequency distribution
Procedures of frequency distribution establishment
Stem and leaf plot
Box Plot |
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第6週 |
10/17 |
5. The Probability distribution
Terminology
Properties of normal curve
Standard normal distribution
Properties of standard normal curve
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第7週 |
10/24 |
6. Sampling distributions
Definition
Distribution of the sample mean
Confidence intervals for the population mean
Confidence intervals for the population variance
Confidence intervals for the population proportion
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第8週 |
10/31 |
Confidence intervals of variance, dample size, and distribution of mean difference |
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第9週 |
11/07 |
7. Hypothesis test for one population mean
Nature of hypothesis test
Terminology
Procedures of testing hypothesis
Type I error
Type II error
Power
Two-tailed test vs. one tailed test
Assumptions
Confidence interval
P-value
Non-parametric test
The one-sample sign test
The one sample Wilcoxon signed-rank test
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第10週 |
11/14 |
8. Tests hypothesis involving two samples
Introduction
Group comparison test
Paired test
To determine the sample size
Efficiency between pair vs. group test
Non-parametric test
Wilcoxon rank-sum test
The sign test
The Wilcoxon signed rank test
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第11週 |
11/21 |
8. Tests hypothesis involving two samples
Introduction
Group comparison test
Paired test
To determine the sample size
Efficiency between pair vs. group test
Non-parametric test
Wilcoxon rank-sum test
The sign test
The Wilcoxon signed rank test
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第12週 |
11/28 |
9. Chi-square Procedures
Properties
Goodness-of-fit test
Heterogeneity chi-square test
Test for independence
Heterogeneity of independence test
Set confidence limits for variance
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第13週 |
12/05 |
Mann-Qhitneyn test, paired signed test, and Wilcoxin signed ranked tes and tchi-square test |
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第14週 |
12/12 |
10. One way analysis of variance
Model 1 analysis of variance
Significant test by F distribution
Model II
Linear additive model
Bartlett’s test
The Kruskal-Wallis test
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第15週 |
12/19 |
10. One way analysis of variance
Model 1 analysis of variance
Significant test by F distribution
Model II
Linear additive model
Bartlett’s test
The Kruskal-Wallis test
11. Multiple range test
Least significant difference
Tukey’s procedures
Student-Newman-Keul’s test
Scheffe’s Method
Choosing a range test
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第16週 |
12/26 |
12. Linear Regression and correlation
Introduction
Correlation coefficient
Significant test of correlation
Regression analysis
Assumption of regression
Analysis of regression
Correlation coefficient vs. regression coefficient
Confidence limits on regression coefficient
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第17週 |
1/02 |
12. Linear Regression and correlation
Introduction
Correlation coefficient
Significant test of correlation
Regression analysis
Assumption of regression
Analysis of regression
Correlation coefficient vs. regression coefficient
Confidence limits on regression coefficient
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