PSY 211 Week 1 Notes
PSY 211 Week 1 Notes Psych 2110
Popular in Elem Statistics Business
Popular in Psychology (PSYC)
verified elite notetaker
This 2 page Class Notes was uploaded by KhloNotes on Thursday September 1, 2016. The Class Notes belongs to Psych 2110 at University of Alabama - Tuscaloosa taught by Andre Souza in Fall 2016. Since its upload, it has received 49 views. For similar materials see Elem Statistics Business in Psychology (PSYC) at University of Alabama - Tuscaloosa.
Reviews for PSY 211 Week 1 Notes
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 09/01/16
From 211 Elementary Statistical Methods (Psychology) ; Professor Souza Ideas Stressed in Chapter One: Everything varies Heterogeneity is universal Graphs are good for visualizations, but can be misleading Statistics is the only science able to quantify and understand variation Statistics is not math, but a tool for understanding the world around us What is Statistics? Science of learning from data and of measuring, controlling, and communicating uncertainty; Why? Statistics holds a fundamental role in scientific research. Notably, it separates fact from fiction and aids in decision making with uncertainties. Basic Concepts and Important Vocab Descriptive Statistics = procedures for summarizing a group of scores or otherwise making them more understandable Ex: The average age of the class is 18.5 Inferential Statistics = procedures for drawing conclusion based on the scores collected in a research study but going beyond them; creates an educated guess for studies where it is impossible to question the entire population Ex: The average of all college classes is 18.5 Population = entire group of people to which a researcher intends the results of a study to apply Ex: In a study about which bananas chimps prefer, the researcher studies responses from the a city zoo’s blue toed chimps. Thus, the chimps are his population. Sample = scores of the particular group of people studied, usually considered to be representative of the scores in some larger population Ex: Five blue toed chimps were selected to partake in the study. Thus, those five chimps are the sample applied to the larger blue toed chimp population. Variables = characteristic that can have different values; what is being measured Ex: Height differences in teens Discrete Variable = variable that has specific values and that cannot have values between these specific values Explanation: Whole numbers instead of fractions or decimals Continuous Variable = variable for which, in theory, there are an infinite number of values between any two values Ex: Travel time can be 5.5 hours or 5.567 hours. Categorical Variable (Nominal Variable) = variable with values that are categories (names rather than numbers); listing of categories and count of frequency Ex: Survey to find most popular cell phone brand Numeric Variable (Quantitative Variable) = variable whose values are numbers as opposed to a nominal variable; can be sorted into a set of intervals divided by a measurement scale Ex: David’s response was “two” in a survey calculating average sodas with dinner, thus his response is placed in the 15 slot. Three Types of Numeric Variables: 1. Equalinterval = variable in which the numbers stand for approximately equal amounts of what is being measured 2. Ratio Scale = variable measured on a ratio scale if it has an absolute zero point, meaning that the value of zero on the variable indicates a complete absence of the variable 3. Rank Order (Ordinal Variable) = numeric variable in which he values are ranks Values = possible number or category that a score can have; each variable has a score Ex: 0 to 6’0 feet Scores = the actual value chosen Ex: 5’0 Outliers = extreme observation that falls far from the other data, thus causes exaggerated estimates, multiple explanations, and instability Ex: A 36 year old in a class made up of mostly 18 year olds Frequency Distribution = pattern of frequencies over the various values Ex: frequency table, histogram, or frequency polygon Relative Frequency = proportion or percentage of observations that fall into that category Equation: Frequency/Total = Proportion x 100 = % Note: All proportions should add up to 1. All percentages should add up to 100%.
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'