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