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