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Psych 210 Notes Week 1

by: Haley Hornung

Psych 210 Notes Week 1 Psych 210

Haley Hornung
GPA 3.2
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About this Document

These notes cover the first week of lecture and describe the content in a way that makes it easier to understand.
Psycholovgical Statistics
Dr. Pamela Schaefer
Class Notes
Psychological, Statistics




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This 2 page Class Notes was uploaded by Haley Hornung on Tuesday August 30, 2016. The Class Notes belongs to Psych 210 at University of Wisconsin - Milwaukee taught by Dr. Pamela Schaefer in Fall 2016. Since its upload, it has received 61 views. For similar materials see Psycholovgical Statistics in Psychology (PSYC) at University of Wisconsin - Milwaukee.

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Date Created: 08/30/16
Intro to Statistics 9/7 Statistics is the science of…  Collecting  Describing  Organizing  Summarizing  And interpreting data! Important to note: like how analogies must use logic in order to make successful comparisons, problems in statistics must be related. The data has to be compared to something in order to be meaningful. You can use statistics to…  Prove your ideas with facts  Predict outcomes Vocab: Fact= observable data Theory= an understanding that helps lead us to the facts Population= all of the individuals of a group being studied Sample= a subset of the population which (hopefully) is representative of the population as a whole Convenience sample-when the researcher chooses participants based on convenience. (i.e students, friends, etc) Random sample- when the researcher chooses participants in a completely random fashion. Representative sample- when the researcher chooses participants in a way that reflects the population as a whole. Which one do you think works the best… Parameter= broader than a statistic. A parameter is always in regards to an entire population. Statistic= differs from a parameter in that it only describes data taken from a sample. Descriptive Statistics- allows us to describe and visualize the data, as in graphically Inferential Statistics- allows us to infer truths about a population based on data gathered from a sample


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