Page 384 - Statistics for Dummies

368
Statistics For Dummies, 2nd Edition
Statistics II For Dummies (Rumsey), 262,
288, 293, 308
subjects
tables
choosing, 268–269
binomial distribution, 352–356
defi ned, 262
t-distribution, 350–351
sum of squares for error (SSE), 288
z-distribution, 347–349
summaries
target population
for categorical data, 14, 15
defi ning, 251–252
with charts and graphs, 15–16
described, 250–251
with descriptive statistics (numbers),
representing, 254
14–15
surveys, 250–252
for numerical data, 15
t-distribution
overview, 14
hypothesis tests, 229–232
surveys
overview, 16, 157–158
analyzing data in, 259
sample size and, 159
bias in, minimizing, 13
tables, 350–351
carrying out, 256–259
z-distribution, relationship to, 231
collecting data for, 256–257 • T •
z-distribution compared, 157–158
conclusions, drawing, 259–260 teen drinking, surveys about, 249
cover letter for, 253 10th percentile (bottom 10%), 155
errors in interpretation of survey results, terminology
259–260 alternative hypothesis, 61
ethical issues, 253 bad sample, 49
following up, 257–259 bell-shaped curve, 54
impact of, 248–250 bias, 51
interpreting results of, 259–260 blind experiment, 57
media and statistics, 27 categorical data, 46
organizing data in, 259 causation, 63
overview, 11–12, 58, 245–246 census, 50
planning and designing, 250–254 Central Limit Theorem, 55–56
process for, 250 confidence intervals, 55, 59–60

purpose of your survey, clarifying, 251 continuous data, 46
questions on, formulating, 253–254 control group, 57
response rate, 258 correlation, 63
sample selection, 254–256 data, 45–47
sources for, 246–247 data set, 47
target population, 250–252 discrete data, 46
timing for, 252 distribution, 54
topics for, 248 double-blind experiment, 57–58
type of, 252 empirical rule, 53
symmetry estimates, 50
in boxplots, 117–119 experiments, 56–58
in data, 75 hypothesis test, 55, 60–61
in histograms, 107, 111–112

inflection point, 54
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