Suppose that IQ scores have a bell-shaped distribution with a mean of 95 and a standard deviation of 16 . Describe where the highest and lowest \( 32 \% \) of IQ scores lie. Answer botween 47 and 143 below 79 and above 111

The probability of committing a Type I error: is solely determined by the size of the treatment effect. cannot be controlled by the experimenter. is determined by the alpha (a) level that one chooses. is determined by the beta ( \( \beta \) ) level one chooses. is determined by the sample size that one chooses.

The estimated standard error (SM), provides a measure of the average discrepancy between: a score ( x ) and the population mean ( \( \mu \) ). a sample mean (M) and the population mean ( \( \mu \) ). the sample standard deviation ( s ) and the population standard deviation ( \( (\mathrm{O} \) ).

A design that has two conditions (treatments) with the same participants experiencing each condition is a(n): two independent groups design. repeated measures design. Analysis of Variance (ANOVA) design. single sample t test design. single sample Z test design.

By selecting a smaller alpha level, a researcher is: attempting to make it easier to reject the null (HO). attempting to make it easier to reject the alternative (H1). reducing the risk of a Type I error. attempting to decrease the standard error.

A researcher risks a Type I error: anytime HO is rejected. anytime H 1 is rejected. anytime HO is accepted. anytime the sample size is increased.