discussed sample distributions - shape - skew - symmetry/asymmetry - outliers - gaps - tail size
The new TARSOG is TOGSSS Tail, Outliers, Gaps, Shape, Skew, Symmetry

discussed sampling variability, including variability of estimates EG: It is important to note that the calculations are on one sample, which I can not be sure is representiative of the population. The results WOULD be different with another sample. Sampling error will be present. There could also be non-sampling errors within my sample. For example: the data is from school students who may not be very accurate at measuring! Note VERY well: Yes, please state a larger sample would give a more accurate result, BUT, saying that does NOT show that you understand sampling VARIABILITY! http://www.stat.auckland.ac.nz/~wild/WPRH/

Example of a Statistical inference:
It is a very safe bet that for the population of athletes in AIS, the median %Bfat of ball sport players will be between 5.45% and 11.54% higher than the median %Bfat of track/field athletes.
Therefore I can make the call that the median %Bfat of ball sport players is higher than the median %Bfat of track/field athletes.

Possible writing frames:
Looking at my bootstrap confidence interval I can fairly state that there is a difference in the female and male median % of variable in the database. This is clearly evident because my bootstrap confidence interval does not include 0.
OR
Looking at my bootstrap confidence interval I can not state there is difference in the female and male median % of variable in the database. My bootstrap confidence interval does include 0, which means I do not have enough information to make a call.

## Passing Skills

http://2013stats.wikispaces.com/3.10+Lesson+Loghttp://2013stats.wikispaces.com/3.10+Introduction

http://2013stats.wikispaces.com/3.10+HELP+I+might+FAIL (if this page is just too much information).

Boxplot with confidence intervals

Bootstrap comparison confidence intervals

Sample statistics: Mean, Median, Range, Standard Deviation, IQR

## Compare the statistics of the two box plots, central tendency and spread.

The new TARSOG is TOGSSS Tail, Outliers, Gaps, Shape, Skew, Symmetry

EG: It is important to note that the calculations are on one sample, which I can not be sure is representiative of the population. The results WOULD be different with another sample. Sampling error will be present. There could also be non-sampling errors within my sample. For example: the data is from school students who may not be very accurate at measuring!Note VERY well: Yes, please state a larger sample would give a more accurate result, BUT, saying that does NOT show that you understand sampling VARIABILITY!http://www.stat.auckland.ac.nz/~wild/WPRH/

Sampling Error: make sure you understand this

http://www.censusatschool.org.nz/2012/data-viewer/

Example of a Statistical inference:

It is a very safe bet that for the population of athletes in AIS, the median %Bfat of ball sport players will be between 5.45% and 11.54% higher than the median %Bfat of track/field athletes.

Therefore I can make the call that the median %Bfat of ball sport players is higher than the median %Bfat of track/field athletes.

Possible writing frames:

Looking at my bootstrap confidence interval I can fairly state that there is a difference in the female and male median % of variable in the database. This is clearly evident because my bootstrap confidence interval does not include 0.

OR

Looking at my bootstrap confidence interval I can not state there is difference in the female and male median % of variable in the database. My bootstrap confidence interval does include 0, which means I do not have enough information to make a call.