Statistics 0.0 / 5 ? OtherStatisticsUniversityAll boards Created by: lc151Created on: 15-01-19 12:33 How many standard errors cover 95% CI? plus or minus 2 1 of 16 How many standard errors cover 99% CI? plus or minus 2.6 2 of 16 PLus or minus 3.3 standard errors is equal to what percentage CI? 99.9 3 of 16 What is an OK range for kurtosis and skew Less than plus or minus 1 4 of 16 Simpson's paradox, When a trend appears in several groups of data but disappears when they are combined, can be caused by confounding variables 5 of 16 What is the likelihood that the population mean lies within plus or minus 1 standard error 68% 6 of 16 What's a type 1 error False positive 7 of 16 What's a type 2 error False negative 8 of 16 If SEMs for two groups overlap what can you conclude about p it has to be bigger than 0.05 9 of 16 If SEMs for two groups DO NOT overlap what can you conclude about p? It could be anything 10 of 16 If p< 0.05, the SEM bars overlap, and no errors were made what can you conclude? The data is paired 11 of 16 What standardised residual is worth checking as an outlier? >3 12 of 16 If ...% of residuals are >2 the model might be a poor fit 5% 13 of 16 What do DFFit and DFBeta give you an indication of and what values show substancial influence on the model? Fit and slope, 1 14 of 16 What is the problem with forwards and backwards variable selection? They both lead to false positives, though backwards is a bit better 15 of 16 What should you be careful of with hierarchical multiple regression Order of entry of predictors may affect the model 16 of 16
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