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Statistical Concepts
Fichas del conjunto (51)
- 1Branch of scienceStatistics (singular sense)
- 2A set of numerical dataStatistics (plural sense)
- 3A collection of all elements under consideration in a statistical studyPopulation
- 4A part or a subset of the population from which data are collectedSample
- 5A characteristic or attribute of elements which can assume different values for the different elements in the collectionVariables
- 6Do not varyconstants
- 7When a variable is manipulated by an experimenterIndependent Variable
- 8In non-experimental research, the Independent Variable is also calledExplanatory Variable or Predictor Variable
- 9Changed by another variableDependent variable
- 10In non-experimental research, the dependent variable is also calledOutcome variable or Criterion
- 11Mediate the independent variable's prediction of the dependent variableModerator variables
- 12realized value of a variableObservation
- 13collection of all observationsData
- 14data in its original formRaw Data
- 15data arranged either from highest to lowest or from lowest to highestArray
- 16a numerical characteristic of a populationParameter
- 17a numerical characteristic of a sampleStatistic
- 18an expectation about events based on generalizations of the assumed relationships between variablesHypotheses
- 19takes a general expectation - perhaps from a fully developed theory - and predicts what would be expected in the new applicationHypothesis
- 20Four Requirements of Hypotheses1. Hypotheses must state relationships between variables
2. Hypotheses must be consistent with what is known in the literature
3. Hypotheses must be testable using specific information gathered
4. Hypotheses must be clear, grammatical, unambiguous declarative sentences - 21Types of HypothesesNull and Material
- 22states that there is no relationship between the variablesNull Hypothesis
- 23referred to often as the research hypothesis that states that there is a relationship between variablesMaterial Hypothesis
- 24Two Forms of Material HypothesesNondirectional and Directional
- 25states that there will be some kind of relationship between the variablesNondirectional
- 26other name for nondirectional hypothesisTwo-tailed Hypothesis
- 27states that there will be some kind of relationship between the variables and states the form of the differencesdirectional hypothesis
- 28other name for directional hypothesisone-tailed hypothesis
- 29other term for null hpothesesstatistical hypotheses
- 30other term for material hypothesesresearch hypotheses
- 31summarizes the collection of seemingly related observations and experiencesConception
- 32Agreeing on what terms meanConceptualization
- 33Result of conceptualizationConcept
- 34theoretical creations that are based on observations but cannot be observed directly or indirectlyConstructs
- 35True or false: A concept is a construct - something we create and agree upon based on mental imagesTrue
- 36process of development and clarification of concepts ; clarifying one's concepts with words and examples and arriving at PRECISE VERBAL DEFINITIONSConceptualization
- 37The process through which we specify what we mean when we use particular terms in researchConceptualization
- 38we classify meanings into different groups, such groups are calledDimensions
- 39When a dimension is not directly observable, we useIndicators
- 40a sign of the presence or absence of the concept we are studyingIndicators
- 41Difference between concept dimension and indicatorLevel of abstraction
- 42TRUE or FALSE: BOTH DIMENSION AND INDICATOR CAN BE VARIABLESTRUE
- 43describes how a concept will be measuredOperationalization
- 44Operationalization choicesRange of Variation
Precision of Variation - 45Two Major Fields of StatisticsApplied and Mathematical
- 46Concerned with procedure and techniques used in the collection, presentation, organization, analysis, and interpretation of dataApplied Statistics
- 47Concerned with the development of mathematical foundations of the methods used in applied statistics.Mathematical statistics
- 48Two Areas of Interest Under Applied StatisticsDescriptive and Inferential
- 49Includes all the techniques used in organizing, summarizing, and presenting the data on handDescriptive statistics
- 50Includes all the techniques used in analyzing the sample data that will lead to generalizations about a population from which the sample cameInferential statistics
- 51Applications of Statistics in Communication Research1. Summarizes data for public use
2. Aids in decision making
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- Fichas sobre Statistical Concepts, creado por Theana Ezen el 10/09/2024.
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- Theana Ezen
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