Statistics by CrashCourse TOC 导航
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What is statistics
key words
field of statistics, statistics, descriptive, inferential, uncertainty, experimental design
What is mathematical thinking
key words
number literacy, scientific notation, law of truly large numbers, missing bullet holes
Mean, Median, Mode: measure central tendency
key words
mean, median, mode, outlier, normal, distribution, average vs median income
Measures of Spread
key words
spread, range, interquartile range, variance, sample variance, standard deviation
Charts are like pasta - Data visualization part 1
key words
frequency table, relative frequency table, bar chart, pie chart, histogram, categorical and quantitative, binning, misleading
dot plots, stem-leaf plot, box-whiskers plot - Data visualization part 2
key words
dot plots, stem-leaf plot, box-whiskers plot, outliers (when to or not to throw away), cumulative frequency plot,
The shape of data - Distribution
key words
distribution, shape of data, discrete and continuous, sample distribution, population distribution or theoretical distribution, normal distribution, unimodal, bimodal, multimodal
Correlation doesn't equal causation
Key words
correlation, causation, bivariate data, regression, regression coefficient, correlation coefficient, squared correlation, spurious correlation
Controlled Experiment
Key words
controlled experiments, simulation, randomized block design, placebo effect, single blind study, double blind study, matched pair experiment
Sampling methods and bias with surveys
Key words
voluntary response bias, simple random sampling, non-response bias, underrepresentation, voluntary response bias, stratified random sampling, cluster sampling, snowball sampling, census
probability part 1
key question
data analysis for life science is not enough for concepts understanding
two definitions of probability
addition rule
multiplication rule
independent
conditional probability
type I and II error
probability part 2: updating beliefs
key concepts
conditional probability
Naive Bayes
simulation: sensitivity (true positive), specificity (true negative)
law of large numbers: true prob with large number of trials
the effect of sample size