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B&B Chap. 12 & Lecture Flashcards

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4470394310Inferential statisticsAllow us to draw inferences about a population based on data from a sample.0
4470401339Test of DifferenceAre differences between categories statistically significant? i.e. is there a strong statistical probability that differences in the sample reflect differences population?1
4470407853Standard errorIn the case of a percentage, the quantity where p is a percentage, q equals (1-p), and n is the sample size.2
4470412241Nonsampling errorsThose imperfections of data quality that are a result of factors other than sampling error.3
4470416839Tests of statistical significanceA class of statistical computations that indicate the likelihood that the relationship observed between variables in a sample can be attributed to sampling error only.4
4470422060Statistical significanceA general term referring to the unlikeliness that relationships observed in a sample could be attributed to sampling error alone.5
4470426664Level of significanceIn the context of tests of statistical significance, the degree of likelihood that an observed, empirical relationship could be attributable to sampling error.6
4470428306Type I errorRejected a true null hypothesis.7
4470430025Type II errorAccepted a false null hypothesis.8
4470434591Statistical powerRefers to the likelihood of rejecting the null hypothesis when it is false.9
4470435904Chi squareIs a frequently used non-parametric test of significance to identify differences in frequency data.10
4470439231T-testIs used when we wish to determine whether two groups, representing nominal-level attributes of an independent variable, differ on some dependent variable, measured at the interval or ratio level of measurement.11
4470446233Pearson product-moment correlation coefficient(r) Is one of the most frequently used parametric statistics in communication research.12
4470450113ScattergramsA plot of how each data point is measured with respect to two variables.13
4470450832Coefficient of determinationThe square of a correlation coefficient r^2.14
4470457170Parametric statisticsThe family of inferential statistics appropriate for interval-or ratio-level data, so long as other assumptions can be met.15
4470460888Nonparametric statisticsThe family of inferential statistics appropriate for nominal-or ordinal-level data, or for data that cannot otherwise meet the assumptions of parametric statistics.16

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