Histogram Hypothesis Research Population Confirmatory .05 Histogram Null hypothesis Measures of central tendency Data Misleading Median Sample Nominal variable Range Mean Quantitative Central limit theorem Test statistic z- score Type I error Leptokurtic Inferential statistics Negative skew Theory, Experiment Neuroticism Significance Variables d Effect size Independent variable Extraversion Dependent design Data science Interval variable Independent t-test Type II error Assumptions Statistics Normal distribution Modality One sample t-test Boxplot Degrees of freedom p- value Descriptive statistics Alternative hypothesis Histogram Hypothesis Research Population Confirmatory .05 Histogram Null hypothesis Measures of central tendency Data Misleading Median Sample Nominal variable Range Mean Quantitative Central limit theorem Test statistic z- score Type I error Leptokurtic Inferential statistics Negative skew Theory, Experiment Neuroticism Significance Variables d Effect size Independent variable Extraversion Dependent design Data science Interval variable Independent t-test Type II error Assumptions Statistics Normal distribution Modality One sample t-test Boxplot Degrees of freedom p- value Descriptive statistics Alternative hypothesis
(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.
Histogram
Hypothesis
Research
Population
Confirmatory
.05
Histogram
Null hypothesis
Measures of central tendency
Data
Misleading
Median
Sample
Nominal variable
Range
Mean
Quantitative
Central limit theorem
Test statistic
z-score
Type I error
Leptokurtic
Inferential statistics
Negative skew
Theory, Experiment
Neuroticism
Significance
Variables
d
Effect size
Independent variable
Extraversion
Dependent design
Data science
Interval variable
Independent t-test
Type II error
Assumptions
Statistics
Normal distribution
Modality
One sample t-test
Boxplot
Degrees of freedom
p-value
Descriptive statistics
Alternative hypothesis