coefficient of determination Chi- square correlation bias factorial alpha geometric distribution independent events matched pairs experiment p1 - p2 median AP Statistics mean p-hat placebo uniform distribution sample space extrapolation 2 sample t- test for a difference of population means confidence interval point estimate z = 1.960 1-prop- zint event experiment 2propzint scatterplot mode fail to reject Ho cluster sample sqrt(pq/n) probability binomial distribution law of large numbers treatment 1 sample t-test for a population mean frequency double blind experiment outlier influential point simple random sample box plot fair game standard deviation statistic mutually exclusive events voluntary response sample convenience sample completely randomized experiment categorical data bar graph stratified sample pie chart interquartile range 2 propztest interval estimate reject Ho observational study interpolation significance test parameter 1propztest central limit theorem y-hat z=1.645 discrete variable symmetrical dependent events np > 10, nq > 10 continuous variable homogeneity n < 0.10N expected counts >= 5 range normally distributed margin of error z=2.576 residual control group coefficient of determination Chi- square correlation bias factorial alpha geometric distribution independent events matched pairs experiment p1 - p2 median AP Statistics mean p-hat placebo uniform distribution sample space extrapolation 2 sample t- test for a difference of population means confidence interval point estimate z = 1.960 1-prop- zint event experiment 2propzint scatterplot mode fail to reject Ho cluster sample sqrt(pq/n) probability binomial distribution law of large numbers treatment 1 sample t-test for a population mean frequency double blind experiment outlier influential point simple random sample box plot fair game standard deviation statistic mutually exclusive events voluntary response sample convenience sample completely randomized experiment categorical data bar graph stratified sample pie chart interquartile range 2 propztest interval estimate reject Ho observational study interpolation significance test parameter 1propztest central limit theorem y-hat z=1.645 discrete variable symmetrical dependent events np > 10, nq > 10 continuous variable homogeneity n < 0.10N expected counts >= 5 range normally distributed margin of error z=2.576 residual control group
(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.
coefficient of determination
Chi-square
correlation
bias
factorial
alpha
geometric distribution
independent events
matched pairs experiment
p1 - p2
median
AP Statistics
mean
p-hat
placebo
uniform distribution
sample space
extrapolation
2 sample t-test for a difference of population means
confidence interval
point estimate
z = 1.960
1-prop-zint
event
experiment
2propzint
scatterplot
mode
fail to reject Ho
cluster sample
sqrt(pq/n)
probability
binomial distribution
law of large numbers
treatment
1 sample t-test for a population mean
frequency
double blind experiment
outlier
influential point
simple random sample
box plot
fair game
standard deviation
statistic
mutually exclusive events
voluntary response sample
convenience sample
completely randomized experiment
categorical data
bar graph
stratified sample
pie chart
interquartile range
2 propztest
interval estimate
reject Ho
observational study
interpolation
significance test
parameter
1propztest
central limit theorem
y-hat
z=1.645
discrete variable
symmetrical
dependent events
np > 10, nq > 10
continuous variable
homogeneity
n < 0.10N
expected counts >= 5
range
normally distributed
margin of error
z=2.576
residual
control group