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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