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