Introduction to Scientific InferenceInductive inference and "experimental error"; A population sample model: local inference; Expansion of the model: inference in the large; Expansion of the model: inference in the large; Interpretation of results; Random variables and distributions; Variance and related topics; Problems of sampling in physical situations; Randomization; Restricted randomization and experimental designs; Regression or curve fitting. |
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90 percent confidence analysis apply assumption average batches bias binomial distribution block bottles chapter characteristic column confidence level confidence statement correlated density function described design of experiments discrete distribution function effect estimate example expected value experiment experimental error experimental material experimental units factor given humidity illustrated independent inference inherent strength kind large number latin square least squares linear mathematical model median ment normally distributed null hypothesis observations obtain occur parameters pattern periment physical situation points Poisson distribution population possible probability problem produce quantity R₁ R₂ random error random order random variable real numbers relationship represents RESTRICTED RANDOMIZATION sample mean sample space sample variance scientist selected significance test simple random sample specimens statistician suppose systematic error Table technique tend tion treatment true trying unbiased uncontrolled conditions uncontrolled variables V₁ vacuum tubes various wish x₁ Y₁ σ²