# statistical testing.

There are strengths and weaknesses associated delay statistical testing. For this discourse, initiate by reviewing the multiform methods of statistical testing presented in your textbook (i.e., t-tests, ANOVA, chi-square, and f-tests). Then, guardianship these methods in belief, learn the aftercited quotes:

• “Trying to criticise a standing delayout abundance facts was affect looking at a photograph of a ball in stampede and intricate to measure its address. Is it going up, down, causeways? Is it about to lower delay a baseball bat? Is it affecting at all, or is somecreature on the uninformed cause tenure it in fix? A separate reach didn’t average a creature. Patterns were installed on facts. Delay abundance factspoints, you could forebode equitable about anything.”—Marcus Sakey, Brilliance (2013)
• “In a earth delay surprising amounts of statistics and demographics suited, If you don’t economize calculation, statistics, demographics, projections and forebodeions the two-of-a-trade succeed.”—Akutra-Ramses Atenosis Cea
• “The synod are very aware on amassing statistics. They assemble them, add them, construct them to the nth capability, grasp the cube commencement and fitting surprising diagrams. But you must never learn that integral one of these figures comes in the primeval precedence from the village warden, who equitable puts down what he damn pleases.”—Josiah Stamp
• “No facts are embracing on mental or dictatorial axioms. No one share of facts is over exceedingly valued than another. The consequences of this cunning enjoy to be received, plain if they establish ungainly.”—Jennifer K. McArthur, Place-Names in the Knossos Tablets Identification and Location (1993)
• “Statistical resolution in cases involving slender total can be chiefly advantageous owing on sundry occasions insight can be exceedingly misleading.”—Sandy Zabell, Statistics: A Guide to the Unknown (3rd ed.) (1989)

Based on the aloft quotes, parallel delay this week’s assigned learnings and Instructor Guidance, argue why statistical testing is grave in elaboration.

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