Statistical assumptions are general assumptions about statistical populations. Statistics, like all mathematical disciplines, does not generate valid conclusions from nothing. In order to generate interesting conclusions about real statistical populations, it is usually required to make some background assumptions. These must be made with care, because inappropriate assumptions can generate wildly inaccurate conclusions.
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- Statistical assumptions are general assumptions about statistical populations. Statistics, like all mathematical disciplines, does not generate valid conclusions from nothing. In order to generate interesting conclusions about real statistical populations, it is usually required to make some background assumptions. These must be made with care, because inappropriate assumptions can generate wildly inaccurate conclusions. The most commonly applied statistical assumptions are: independence of observations from each other independence of observational error from potential confounding effects exact or approximate normality of observations linearity of graded responses to quantitative stimuli
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- Statistical assumptions are general assumptions about statistical populations. Statistics, like all mathematical disciplines, does not generate valid conclusions from nothing. In order to generate interesting conclusions about real statistical populations, it is usually required to make some background assumptions. These must be made with care, because inappropriate assumptions can generate wildly inaccurate conclusions.
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