can explain what a type II Error is can tell you what SOCS stands for can explain difference between a paired t-test and a two- sample t-test remembers what a stratified random sample is can explain difference between binomial and geometric settings can explain difference between parameter and statistics can explain difference between SD and SE can tell you what BINS stands for remembers what a confounding variable is knows formula for z- score can explain what a percentile is knows how to use normalcdf remembers what a cluster random sample is can explain what a standard error is knows how to use binomcdf knows what relative frequency is knows large counts condition for means knows formula for calculating outliers knows formula for df can name 3 conditions for inference can explain what a type I Error is remembers how to make a stem plot remembers what SRS stands for remembers formula for IQR knows large counts condition for proportions knows large counts condition for Chi-Square knows why we need to check random condition remembers what a systematic sample is remembers how to combine standard deviations can explain what a type II Error is can tell you what SOCS stands for can explain difference between a paired t-test and a two- sample t-test remembers what a stratified random sample is can explain difference between binomial and geometric settings can explain difference between parameter and statistics can explain difference between SD and SE can tell you what BINS stands for remembers what a confounding variable is knows formula for z- score can explain what a percentile is knows how to use normalcdf remembers what a cluster random sample is can explain what a standard error is knows how to use binomcdf knows what relative frequency is knows large counts condition for means knows formula for calculating outliers knows formula for df can name 3 conditions for inference can explain what a type I Error is remembers how to make a stem plot remembers what SRS stands for remembers formula for IQR knows large counts condition for proportions knows large counts condition for Chi-Square knows why we need to check random condition remembers what a systematic sample is remembers how to combine standard deviations
(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.
can explain what a type II Error is
can tell you what SOCS stands for
can explain difference between a paired t-test and a two-sample t-test
remembers what a stratified random sample is
can explain difference between binomial and geometric
settings
can explain difference between parameter and statistics
can explain difference between SD and SE
can tell you what BINS stands for
remembers what a confounding variable is
knows formula for z-score
can explain what a percentile is
knows how to use normalcdf
remembers what a cluster random sample is
can explain what a standard error is
knows how to use binomcdf
knows what relative frequency is
knows large counts condition for means
knows formula for calculating outliers
knows formula for df
can name 3 conditions for inference
can explain what a type I Error is
remembers how to make a stem plot
remembers what SRS stands for
remembers formula for IQR
knows large counts condition for proportions
knows large counts condition for Chi-Square
knows why we need to check random condition
remembers what a systematic sample is
remembers how to combine standard deviations