Chapters 1 and 2
Chapters 1 and 2 PY 211
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This 0 page Class Notes was uploaded by Amanda Jimenez on Sunday January 10, 2016. The Class Notes belongs to PY 211 at University of Alabama - Tuscaloosa taught by a professor in Fall 2015. Since its upload, it has received 32 views. For similar materials see Elem Statistical Methods in Psychlogy at University of Alabama - Tuscaloosa.
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I had to miss class because of a doctors appointment and these notes were a LIFESAVER
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Date Created: 01/10/16
Chapter 1 What is Statistics Statistics science of learning from data and of measuring controlling and communicating uncertainty 0 Not math means that things are apparently all over the place 0 Statistics is the science of quantifying and understanding variation 0 Helps you make sense of info you re exposed to Everything varies 0 Measure the same thing twice you will get different answers Statistics is all about variation 0 If the variation you seeobserve is larger than the variation you would expect as normal 0 Statistically significant Response variable variable whose variation you are trying to understand Explanatory Variable something that takes up different values Descriptive statistics summary of information in a collection of data Inferential Statistics provides prediction about a population on the basis of a sample Population total set of units of interests Sample subset of the population of interest Parameter that summarizes a population Statistic that summarizes a sample Random Sampling idea that each member of a population has equal chance of being selected to be a part of a sample Chapter 2 Explanatory Variable in uences variation Response Variable in uenced by explanatory variable Two Methods 0 Descriptive summary of information 0 Inferential provides predictions about population Population total set of units Sample subset of a population Every number summarized parameter Use standard deviation Sample when we describe a sample we are actually defining a statistics of sample Parameter estimation in the absence of all cases from a population we need to make inferences about the population parameter based on a sample statistic Roles of variables 0 Response variable also known as dependent variable y axis 0 Explanatory Variable independent variable x axis Types of variables 0 Discrete variables variables that can only take on specific numbers of siblings for ex 0 Continuous variable can take any real number value Categorical variables categories 0 Nominal 2 or more categories where the order doesn t matter 0 Dichotomous only 2 categories 0 Ordinal two or more categories where ORDER MATTERS Quantitative Variable characterized by numerical value Interval numerical values in which intervals between values assumed to be the same Ratio meaning the zero point
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