event geometric distribution cluster sample treatment z=1.645 median coefficient of determination extrapolation significance test AP Statistics matched pairs experiment pie chart np > 10, nq > 10 binomial distribution alpha p-hat experiment range observational study box plot law of large numbers 1propztest placebo central limit theorem fair game outlier 1-prop- zint discrete variable margin of error y-hat uniform distribution normally distributed influential point interval estimate mutually exclusive events parameter standard deviation interpolation convenience sample sqrt(pq/n) independent events mode z = 1.960 voluntary response sample interquartile range double blind experiment continuous variable frequency symmetrical correlation confidence interval simple random sample p1 - p2 mean sample space completely randomized experiment 2propzint dependent events fail to reject Ho reject Ho probability bias z=2.576 bar graph control group n < 0.10N residual stratified sample 2 propztest statistic scatterplot point estimate categorical data factorial event geometric distribution cluster sample treatment z=1.645 median coefficient of determination extrapolation significance test AP Statistics matched pairs experiment pie chart np > 10, nq > 10 binomial distribution alpha p-hat experiment range observational study box plot law of large numbers 1propztest placebo central limit theorem fair game outlier 1-prop- zint discrete variable margin of error y-hat uniform distribution normally distributed influential point interval estimate mutually exclusive events parameter standard deviation interpolation convenience sample sqrt(pq/n) independent events mode z = 1.960 voluntary response sample interquartile range double blind experiment continuous variable frequency symmetrical correlation confidence interval simple random sample p1 - p2 mean sample space completely randomized experiment 2propzint dependent events fail to reject Ho reject Ho probability bias z=2.576 bar graph control group n < 0.10N residual stratified sample 2 propztest statistic scatterplot point estimate categorical data factorial
(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.
event
geometric distribution
cluster sample
treatment
z=1.645
median
coefficient of determination
extrapolation
significance test
AP Statistics
matched pairs experiment
pie chart
np > 10, nq > 10
binomial distribution
alpha
p-hat
experiment
range
observational study
box plot
law of large numbers
1propztest
placebo
central limit theorem
fair game
outlier
1-prop-zint
discrete variable
margin of error
y-hat
uniform distribution
normally distributed
influential point
interval estimate
mutually exclusive events
parameter
standard deviation
interpolation
convenience sample
sqrt(pq/n)
independent events
mode
z = 1.960
voluntary response sample
interquartile range
double blind experiment
continuous variable
frequency
symmetrical
correlation
confidence interval
simple random sample
p1 - p2
mean
sample space
completely randomized experiment
2propzint
dependent events
fail to reject Ho
reject Ho
probability
bias
z=2.576
bar graph
control group
n < 0.10N
residual
stratified sample
2 propztest
statistic
scatterplot
point estimate
categorical data
factorial