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