Statistic
2016-10-03 22:57:41 0 举报AI智能生成
Statistic，即统计学，是一门研究数据收集、分析、解释、展示和组织的方法的学科。它通过运用数学和逻辑原理，对数据进行量化处理，从而揭示数据背后的规律和趋势。统计学在各个领域都有广泛的应用，如社会科学、经济学、生物学、医学等。通过对大量数据的统计分析，可以帮助我们更好地理解现象、预测未来、制定政策和优化决策。统计学的主要分支包括描述性统计、推断性统计、概率论、数理统计、实验设计等。掌握统计学的基本概念和方法，对于提高数据分析能力、解决实际问题具有重要意义。
作者其他创作
大纲/内容
descriptive statistic
univariate description
frequency
graphic
bar graph (quali)
histogram (quanti)
shape of quanlitative data distribution
symmetry and skeweness
kurtosis and modality
normal and non-normal distribution(quanti)
normal
non normal
central tendency
mean(quanti,normal)
median(quanti,non-normal)
mode(quali)
variability
variance,standard deviation(mean,normal)
range,semi-quartile range(median,non-normal)
bivariate description
scatterplot(quanti)
cross-tab(quali)
inferential statistic
qualitative
Chi-square test
hypothesis:wether association between A and B or not
exact test
hypothesis:wether association between A and B or not
McNemar test
hypothesis:having change in percent of subjects after intervention
quantitative
parametic(mean,normal)
T-test
one sample t-test group
two sample t-test group
independent t-test
paired(dependent) t-test
non-parametic(median,non-normal)
Kolmogorov Smirnov Z test(non-parametric)
data distribution is normal or non-normal
Mann-Whitney U test(independent)
Wilcoxan Signed Rank test (dependent)
Kruskal Wallis test(independent)
Friedman test(dependent)
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