TALKING THE TALK OF QUANTITATIVE

~~ STATISTICS TALK ~~

TALKING THE TALK OF QUANTITATIVE RESEARCH

Or, the LEAST you should know about reading/using statistical research

updated for S'18

page last updated 3/23/18 -

"Statistics Talk" as well as the other upcoming activities (including "Testing Maslow" & the chapter discussions) which explore the statistics chapters, is aimed at helping you become more knowledgeable consumers of statistical research. {if you are doing statistical research for your senior seminar project you will need MUCH more depth than this & may want to utilize additional campus resources}

Some of the terms most commonly encountered when reading scholarly research reports are listed below. If your name is listed next to a term, you are the designated "go-to" person throughout these sessions on statistics. Be prepared to :

(1) give a my-own-words definition,

and

(2) offer a my-own-example instance of the term-- preferably something you have seen in your scholarly reading, but you can also use a hypothetical example

ANOVA [analysis of variance] [16/11]	Cassie
CHI Square [16/11]	Emma
Frequency Distribution [15/10]	Aubrey
Mode – Median - Mean [15/10]	Bernice
Null Hypothesis [15/10]	Saumya*
Regression Analysis [16/11]	Matt C.
Standard Deviation-Bell Curve [15/10]	Billy
T Test [16/11]	tba
Two Tailed Test [16/11]	Matt Z
Type I Error/Type II Error [15/10]	Saumya*
U Shaped Correlation [16/11]	Jake
Standard Error (differences between means) [15/10]	tba
Correlation Coefficient	Blaine
Parametric Tests	Leslie
Central Tendency	David
Skew & Kurtosis	Petal

Needless to say, you can refer the text's glossary but--as a go-to-person--a more concrete, clear language, pragmatic (i.e. grounded) understanding is desirable.