z=2.576 residual independent events interval estimate interpolation experiment scatterplot frequency fail to reject Ho binomial distribution alpha statistic matched pairs experiment pie chart n < 0.10N treatment discrete variable correlation outlier continuous variable 1-prop- zint voluntary response sample observational study event simple random sample y-hat range p-hat placebo median AP Statistics confidence interval 2 propztest normally distributed symmetrical 2propzint parameter fair game dependent events z = 1.960 np > 10, nq > 10 mean point estimate sample space bias z=1.645 mutually exclusive events coefficient of determination mode influential point control group sqrt(pq/n) significance test box plot probability stratified sample central limit theorem categorical data geometric distribution margin of error completely randomized experiment 1propztest convenience sample standard deviation interquartile range uniform distribution extrapolation reject Ho cluster sample law of large numbers p1 - p2 factorial bar graph double blind experiment z=2.576 residual independent events interval estimate interpolation experiment scatterplot frequency fail to reject Ho binomial distribution alpha statistic matched pairs experiment pie chart n < 0.10N treatment discrete variable correlation outlier continuous variable 1-prop- zint voluntary response sample observational study event simple random sample y-hat range p-hat placebo median AP Statistics confidence interval 2 propztest normally distributed symmetrical 2propzint parameter fair game dependent events z = 1.960 np > 10, nq > 10 mean point estimate sample space bias z=1.645 mutually exclusive events coefficient of determination mode influential point control group sqrt(pq/n) significance test box plot probability stratified sample central limit theorem categorical data geometric distribution margin of error completely randomized experiment 1propztest convenience sample standard deviation interquartile range uniform distribution extrapolation reject Ho cluster sample law of large numbers p1 - p2 factorial bar graph double blind experiment
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
z=2.576
residual
independent events
interval estimate
interpolation
experiment
scatterplot
frequency
fail to reject Ho
binomial distribution
alpha
statistic
matched pairs experiment
pie chart
n < 0.10N
treatment
discrete variable
correlation
outlier
continuous variable
1-prop-zint
voluntary response sample
observational study
event
simple random sample
y-hat
range
p-hat
placebo
median
AP Statistics
confidence interval
2 propztest
normally distributed
symmetrical
2propzint
parameter
fair game
dependent events
z = 1.960
np > 10, nq > 10
mean
point estimate
sample space
bias
z=1.645
mutually exclusive events
coefficient of determination
mode
influential point
control group
sqrt(pq/n)
significance test
box plot
probability
stratified sample
central limit theorem
categorical data
geometric distribution
margin of error
completely randomized experiment
1propztest
convenience sample
standard deviation
interquartile range
uniform distribution
extrapolation
reject Ho
cluster sample
law of large numbers
p1 - p2
factorial
bar graph
double blind experiment