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Introduction to Statistics Flashcards

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10170732803StatisticsA set of tools and techniques that is used for describing, organizing, and interpreting information or data0
10170732804Example of statisticsNumber of students in a particular curriculum, or average cost of dinner1
10170732805Purpose of statisticsEvaluating research questions and providing evidence for or against.2
10170732806DataA record of an observation or an event such as a test score, grade in a class, or response time, one!3
10170732807Data SetA collection of observations or events such as test scores, grades on a test, or response times4
10170732808Descriptive statisticsUsed to organize and describe the characteristics of a collection of data; measures of average and measures of variability5
10170732809Inferential statisticsUsed to make generalizations from a smaller group of subjects (a sample to a larger group of subjects (a population); won't have access to the entire population6
10170732810PopulationA group of people that have at least one characteristic in common (All Aggies)7
10170732811SampleA subset of a population (Certain subset of Aggies)8
10170732814VariablesA characteristic (of a person, place, or thing) that takes on different values (Achievement, attitude, knowledge, etc)9
10170732816Numerical DataRepresent differing amounts of the characteristic (Age, intelligence, or run time, etc.)10
10170732817Categorical DataRepresent differing kinds rather than amounts (Gender, marital status, or breed of dog, etc.)11
10170732818Continuous VariablesVariables that can take on any value (number of free throws made, GRE score, or number of students in class)12
10170732819Discrete VariablesVariables that can take of a finite number of values (marital status, gender, or a year in school)13
10170732824Nominal Scale(Names) Values merely name the category to which the object under study belongs, interpretations are limited to statements of kind rather than amount (Italian, Irish...)14
10170732825Ordinal ScaleOutcomes can be ordered or ranked to reflect differing degrees or amounts of the characteristic being studied (first vs. second vs. third) Does not give info about the difference between first and second, second and third15
10170732830Symbol - ∑Symbol - "Sum of"16
10170732832Symbol - NSymbol - Number of people in a population17
10170732833Symbol - nSymbol - Number of people in a sample18
10170732840Symbol - IQRSymbol - Measures of Variability - Interquartile Range19
10170732850Dependent variableIn an experiment, a measure expected to vary across different levels of independent variable20
10170732851Double-Blind experimentAn experiment where the participants are kept unaware of the experimenter's hypothesis, and the experimenter is kept unaware of the participants' group affiliation (experimental or placebo group) until after the dependent variable has been measured21
10170732853HypothesisAn educated guess that guides research22
10170732854Independent VariableIn an experiment, the variable that the experimenter manipulates23
10170732864Bar graphgraph that is typically used with data based on nominal or ordinal scales24
10170732868Negatively skewed distribution (skewed left)Type of distribution25
10170732869Positive Skew distribution (Skewed right)Type of distribution26
10170732875Median valueis a set of numbers is the value that divides the set into equal halves27
10170732876ModeThe most frequent occurring number in a set of scores28
10170732879OutlierDeviant scores that have been legitimately gathered and are not due to equipment failures.29
10170732888rangedescribes the difference between the lowest score and the highest score in a set of numbers30

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