December 2014
Beginner
312 pages
8h 30m
English
Content preview from Introductory Statistics and Analytics: A Resampling PerspectiveBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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INDEX
absolute residual error, 212
Bayesian calculations, 96
Benford's Law, 187
Bernoulli trials, 146
best fit, 210
Big Data, 27
Binary Data, 15
Binary Variables in Regression, 274
binomial distribution, 134, 147
blocking, 247
parametric 141
bootstrap confidence interval for a regression coefficient, 265
Bootstrapping a Regression, 264
box, 111
Box Sampler, 4
boxplot, 37
causation, 205
Central Limit Theorem, 129
chi-square, 186
cluster sampling, 118
coincidence, 205
complement, 74
conditional probability, 92
confidence interval, 125
contingency table, 182
control group, 8
convenience sampling, 118
correlation, 193
correlation coefficient, 199
correlation matrix, 258
critical value, 154
cumulative frequencies, 34
data analytics, 28
database normalization, 25
degrees of freedom, 19
difference in proportions,
double-blind, 12
Dummy Variable, 274
error, 211
factorial design, 246
flat file, 25
frequency distribution, 33
frequency table, see frequency distribution, 33
Gallup, 106
GDP, 62
Google Trends, 66
hat, see box 111
Hawthorne effect, 12
hinges, 17
histogram, 35
hypothesis test, 45
independent events, 98
interaction, 242
interquartile range, 17
IQR, see interquartile range, 17
law of averages, 9
law of large numbers, 9
least squares regression, 212
linear regression, 212
linear relationship, 213
marginal columns and rows, 89
mean, 13
measurement variable, ...
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