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## STP 231, Week 2

by: Leslie Jaimes

64

0

1

# STP 231, Week 2 STP 231

Leslie Jaimes
ASU
GPA 3.5

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Ch. 1, sections 1.1, 1.2, and 1.3 covering material on Statistics, Types of Evidence, and Random Sampling
COURSE
Statistics for Biosciences
PROF.
Diane Richardson
TYPE
Class Notes
PAGES
1
WORDS
CONCEPTS
Statistics, Types of Evidence, random sampling
KARMA
Free

## Popular in Statistics

This 1 page Class Notes was uploaded by Leslie Jaimes on Saturday February 6, 2016. The Class Notes belongs to STP 231 at Arizona State University taught by Diane Richardson in Spring 2016. Since its upload, it has received 64 views. For similar materials see Statistics for Biosciences in Statistics at Arizona State University.

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Date Created: 02/06/16
1.1Statistics EX: (look at notebook) Noise (the spread of the dots): normal or expected variability Signal: fertilizer 1.2Types of Evidence I. Types of Evidence a. Anecdotal: something that sparks a study of investigation. A single instinct that can lead. i. EX: (A plane trip) A mom stops the babies from crying by giving it a juice box b. Observational: when researcher systematically collects data as an observer. NO manipulation. c. Experimental: researchers manipulate conditions – usually treatments, controls, randomness d. Placebo group: drug trials II. Concerns a. EX: flying anxiety medication believed to help. Subjects with flying anxiety are randomly assigned to a new drug or placebo. b. Blinding i. Blind study: subjects don’t know if given placebo or not ii. Double bind study: neither researchers nor subject knows which drug is given c. Control i. Experimental made change/difference ii. Panel bias iii. Historical control: data used from previous experiment 1.3Random Sampling I. Sample and population a. Population: group of (____) that your trying to study for an experiment i. Represent with N b. Sample i. Represent with n c. Goal: representative sample d. Simple Random Sample (SRS) i. Every member e. Non Simple Random Sampling i. Random Cluster: geographically division divide areas into clusters and randomly selection of cluster 1. EX: Arizonians – divide states into counties ii. Stratified: divide population into strata. Assume each strata is homogenous.

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