Triola data
M&Ms
0.836 0.843 0.849 0.855 0.870 0.872 0.874 0.875 0.879 0.886 
0.887 0.889 0.894 0.901 0.902 0.912 0.926 0.940 0.943 0.944

Data is not always nice whole numbers...

freq dist, histogram, stats ***

n=___
mean=_____      median=_____     mode(s)=_________  occur(s) ____ times 
SD s=______     range:_______ 
this data is harder to think about...so, mentally drop the decimal point and 
consider the first 3 decimal digits, as 836, 843 .... 
  The stats too.  s is about 30, 

Sketch the boxplot and annotate it with the 5 numbers and IQR:







Outlier cutoffs:______________  (by the <,> 1.5*IQR method)
Outliers:______________________

2*s=_______  mean-2s=______  mean+2s=_____
Which datums are "statistically significant"___________________
 i.e. not within 2 SD of the mean == More than 2 SD from the mean.


The frequency distribution table tells us what interesting thing about this data:
____________________________

The "stickgram" gives some hint of symmetry and clustering in the middle?:___


Sketch the histogram from .830 to .950 of class width of .012:  "830 to 950 by 12"
Annotate each class's bar with its frequency.
#of classes:___










Looks normalish?:___