What is a violation in statistics?
a situation in which the theoretical assumptions associated with a particular statistical or experimental procedure are not fulfilled.
What are some problems that might arise when relying on statistical significance?
Problems arise in tests of statistical significance because researchers are usually working with samples of larger populations and not the populations themselves. As a result, the samples must be representative of the population, so the data contained in the sample must not be biased in any way.
What are statistical flaws?
Here, we present seven pervasive statistical flaws in intervention designs: (i) lack of power; (ii) sampling error; (iii) continuous variable splits; (iv) erroneous interpretations of correlated gain scores; (v) single transfer assessments; (vi) multiple comparisons; and (vii) publication bias.
What happens when ANOVA assumptions are violated?
If the populations from which data to be analyzed by a one-way analysis of variance (ANOVA) were sampled violate one or more of the one-way ANOVA test assumptions, the results of the analysis may be incorrect or misleading. A nonparametric test or employing a transformation may result in a more powerful test.
What’s the problem with using tests for statistical assumptions?
There are so many nuances with assumptions as well: depending on a lot of the details of your particular study and data set, violations of some assumptions may be more or less serious. It depends on a lot of details: sample sizes, imbalance in the data across groups, whether the study is exploratory or confirmatory, etc.
Is the ANOVA robust to violation of the p-value?
(In other words, actually look at the effect size, not just the p-value). The ANOVA is generally considered robust to violations of this assumption when sample sizes across groups are equal. So even if Levene’s is significant, moderately different variances may not be a problem in balanced data sets.
Is there too much police enforcement of speeding?
Twenty-two percent of those under age 30 reported that they believe there is too much police enforcement of speeding as compared to 8 percent of those age 30 or older. At least two-thirds of drivers feel that photo enforcement would be a good idea in all of the traffic violation scenarios identified.
Who is more likely to make obscene gestures in traffic?
Drivers under age 21 are much more likely than older drivers to engage in these behaviors, with 29 percent saying they cut in front of other drivers, 24 percent making obscene or angry gestures towards other motorists, and 17 percent using the shoulder to pass in heavy traffic.