August 17th

Sennai's phone- 7274820113

office hours Friday 10-1

get Experimental design book for next semester

october 7th is first exam (24 hours) can use any recourse except talking to people 

exam 2 is december 2th

save syllabus to MES folder, put schedule in calender

Joe Townsend tutoring sunday evenings- save zoom meeting. discussion board on black board 

read grittoli article, discussion, start page in notes for next week, read first chapter in book

pre course assesment 

 

Tips:

stay organized- download data sets beforehand

keep programming notebook 

work on things little bit everyday  

 

Parametric statistics?

Intro to experimental design

Treatment is conditioned imposed on experimental unites- the thing that you are manipulating 

Experimental unit(or sample)- unit that did or did not recieve the treatment 

control- the unit that did not receive the treatment but otherwise identical 

confounding factor- not of interest but may change nature of results if not controlled (like water flow in recruitment studies)

randomization- factors that cant be controlled can be randomized to remove bias, balances effects of potential confounding factors

replication- assess consistency, allows measurement of variability. more replication gets closer to natural pop

statistical independence- experiemental unites are independent if its response does not affect how another unit will respond. one does not affect the other. if you cannot show independence, you have to account for it in stats

Data - type, scale of measurement, role 

   can be discrete- only take certain values eg:small medium large

   continuous-    any values,  no gaps eg: size weight temp salinity   

scales of  measurement for discrete  data

Nominal- name, classification, no ordering,  arbitrary

• can only count number of occurances
• central tendency used is  mode

Ordinal- ordered name, but not continuous data eg restaurant ratings 

• can rank ordinal data but cannot quantify  differences between two ordinal values 
• central tendency is median or mode 

Roles of data

names (classes)

• strings, character, numeric, integers
• can be used to group observations

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