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nonparametric test of the statistical significance of a relation between two nominal or ordinal variables. Because a chi-square analyzes grosser data than do parametric tests such as t tests and analyses of variance (ANOVAs), the chi-square...
used to test whether the sample mean (x) for a specific variable is "likely" or "unlikely" against the hypothesis that this average from a sample that was drawn at random from a population which we know the mean (µ), but not the standard de...
interpretation of scores as a whole. One way to use descriptive statistics to make sense of these data would be to construct a frequency table in which scores are rank ordered from largest to smallest along with the number of individuals re...
Statistics in Behavioural Sciences Every theory needs evidences for justification. The most significant evidence is empirical evidence. Statistics thus provide this evidence in every study. Only a data collected in relation with the theory ...
statistical tests and contrast estimation frequently used are based on the assumption that we have obtained a random sample from a probability distribution of normal or Gaussian type. But in many cases this assumption is not valid, and othe...
Chi square test ((2) can be used even with measured data on a nominal scale. The null hypothesis of the chi-square postulates a fully specified probability distribution as the mathematical model of the population that generated the sample. ...
chi-square test postulates a fully specified probability distribution as the mathematical model of the population that generated the sample. For each value or range of values ??indicates the absolute frequency observed or empirical (Oi). Th...