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by: Logan Amon

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PSY 1110 - Elementary Statistical Reasoning - Notes from Week 1 PSY 1110

Marketplace > Ohio University > Psychlogy > PSY 1110 > PSY 1110 Elementary Statistical Reasoning Notes from Week 1
Logan Amon
Ohio
GPA 3.472
Elementary Statistical Reasoning
Susan Tice-Alicke

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Hello everyone, these are my notes that were taken from week 1 of PSY 1110 with Dr. Tice-Alicke. Within the notes you'll find everything we talked about in class such as terms and their definitions...
COURSE
Elementary Statistical Reasoning
PROF.
Susan Tice-Alicke
TYPE
Class Notes
PAGES
4
WORDS
KARMA
25 ?

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This 4 page Class Notes was uploaded by Logan Amon on Saturday August 29, 2015. The Class Notes belongs to PSY 1110 at Ohio University taught by Susan Tice-Alicke in Summer 2015. Since its upload, it has received 48 views. For similar materials see Elementary Statistical Reasoning in Psychlogy at Ohio University.

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Date Created: 08/29/15
PSY 1110 Elementary Statistical Reasoning Notes from Week 1 Instructor Dr Susan TiceAlicke 08242015 08282015 339 procedures used for analyzing and interpreting data mostly numerical it can also mean the outcome of the procedures 0 Organizing and summarizing data Important characteristics Relationships Visibility etc 0 Procedures for making a judgment about the characteristics of the based on the characteristics of the unknown known I Parameter measurement from a population 0 Uses GREEK symbols I Statistic measurement obtained from a sample 0 Uses ENGLISH symbols gt a sample that accurately re ects the characteristics of the population gt every number of the population has an equal chance of being selected 339 refers to the collection of numbers or other pieces of information in which meaning has been attached 0 obtained by measuring the objects events etc I quantitative in nature Examples Heart rate Weight 0 how often something occurs I frequency datacount data Examples FreshmanSenior Majors 339 The set of possible numbers that may be obtained through the measurement process 1 place items into categories 0 example states of matter gt it cannot be categorized into groups such as grade level price or size because there is order Simplest true scale order the objects events etc along a continuum according to magnitude Low gt High or High gt Low 0 example rankings in a race I Each m indicated an actual amount Equal unit of measurement separating each score Allows for negative numbers You can have a score of zero but it s not an absolute zero 0 example temperature on the Fahrenheit scale 4 Each score indicates actual amount Equal unit of measurement separating each score A score of zero is an absolute zero No negative numbers 0 example number of siblings Measurements 3 amp 4 are the scales you can get the most information from anything that can take on more than one specific value results in a whole number of category results in two categories allows for fractional amounts PSY 1110 Elementary Statistical Reasoning Notes from Week 1 Instructor Dr Susan TiceAlicke 08242015 08282015 339 procedures used for analyzing and interpreting data mostly numerical it can also mean the outcome of the procedures 0 Organizing and summarizing data Important characteristics Relationships Visibility etc 0 Procedures for making a judgment about the characteristics of the based on the characteristics of the unknown known I Parameter measurement from a population 0 Uses GREEK symbols I Statistic measurement obtained from a sample 0 Uses ENGLISH symbols gt a sample that accurately re ects the characteristics of the population gt every number of the population has an equal chance of being selected 339 refers to the collection of numbers or other pieces of information in which meaning has been attached 0 obtained by measuring the objects events etc I quantitative in nature Examples Heart rate Weight 0 how often something occurs I frequency datacount data Examples FreshmanSenior Majors 339 The set of possible numbers that may be obtained through the measurement process 1 place items into categories 0 example states of matter gt it cannot be categorized into groups such as grade level price or size because there is order Simplest true scale order the objects events etc along a continuum according to magnitude Low gt High or High gt Low 0 example rankings in a race I Each m indicated an actual amount Equal unit of measurement separating each score Allows for negative numbers You can have a score of zero but it s not an absolute zero 0 example temperature on the Fahrenheit scale 4 Each score indicates actual amount Equal unit of measurement separating each score A score of zero is an absolute zero No negative numbers 0 example number of siblings Measurements 3 amp 4 are the scales you can get the most information from anything that can take on more than one specific value results in a whole number of category results in two categories allows for fractional amounts Hope you all have a great weekend see you in class next week

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