value of the standard error 6) Critical z scores separate a) True and false hypotheses b) Valid and invalid samples c) Common and rare outcomes d) Type I and Type II errors 7) The values of the measures of central tendency, according to the properties of the normal distribution, are a) Always the same b) Usually the same c) Usually different d) Cannot be determined 8) Areas of proportion within the normal curve are a) Either positive or negative b) Always negative c) Always positive d) Cannot be determined

Mean sample is a 1) Parameter 2)Statistics 3) variable 4)Constant

One difference between ANOVA and regression is:    a) ANOVA is for statistical inference, whereas regression is not b) a regression line accounts for variability, whereas variability is not a concept in ANOVA c) in regression, we estimate a slope, whereas in ANOVA, we estimate mean differences d) ANOVA bases its inferences on samples, whereas regression bases its inferences on populations e) ANOVA and regression are not different atall,they are exactly the same  f) ANOVA features p-values, whereas regression does not

One difference between ANOVA and regression is: a) ANOVA is for statistical inference, whereas regression is not b) a regression line accounts for variability, whereas variability is not a concept in ANOVA c) in regression, we estimate a slope, whereas in ANOVA, we estimate mean differences d) ANOVA bases its inferences on samples, whereas regression bases its inferences on populations e) ANOVA and regression are not different at all, they are exactly the same f) ANOVA features p-values, whereas regression does not