Response variable Participant Nonresponce bias Control treatment Sample Trial Control Group Under coverage Retrospective studies Stratified random sampling Random assignment Placebo effect Prospective studies Experimental Unit Replicate Representative Convenience sampling Observational studies Sampling variability Randomizing Treatment Cluster sampling Control Subject Simple random samples Response variable Population parameter vs. sample statistic Blinding Factor Simulation Randomize Block Census Single blind Bias Double blind Confounding Component Voluntary response sampling Population Systematic sampling Statistically significant Randomness Leading questions Sample Size Response variable Participant Nonresponce bias Control treatment Sample Trial Control Group Under coverage Retrospective studies Stratified random sampling Random assignment Placebo effect Prospective studies Experimental Unit Replicate Representative Convenience sampling Observational studies Sampling variability Randomizing Treatment Cluster sampling Control Subject Simple random samples Response variable Population parameter vs. sample statistic Blinding Factor Simulation Randomize Block Census Single blind Bias Double blind Confounding Component Voluntary response sampling Population Systematic sampling Statistically significant Randomness Leading questions Sample Size
Bingo - Call List
(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.
Response variable
Participant
Nonresponce bias
Control treatment
Sample
Trial
Control Group
Under coverage
Retrospective studies
Stratified random sampling
Random assignment
Placebo effect
Prospective studies
Experimental Unit
Replicate
Representative
Convenience sampling
Observational studies
Sampling variability
Randomizing
Treatment
Cluster sampling
Control
Subject
Simple random samples
Response variable
Population parameter vs. sample statistic
Blinding
Factor
Simulation
Randomize
Block
Census
Single blind
Bias
Double blind
Confounding
Component
Voluntary response sampling
Population
Systematic sampling
Statistically significant
Randomness
Leading questions
Sample Size