quiz 5 psych stats

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in a one-way anova, a participant's score is +4 units from the value of GM, additionally, her score is -1 units away from her groups mean (M). how far from the GM is the M?

+5 units

a consumer psychologist is interested in the effects of annual income and motivations to shop on shopping patterns of consumers. if annual income (broken into two levels: high and moderate) and motivation to shop (with three levels: escape, necessity, socializing) and considered in one study, how many cells will there be?

6

in an one-way anova. E(x-m)^2 + E(m-gm)^2=

E(x-gm)^2

in a factorial design a "cell" is

a particular combination of levels of the variables that divide the groups

the scheffe test is

a post-hoc comparison procedure

the test performed mean after the omnibus test in a one-way anova with 3 levels of the independent variable to determine precisely where the difference occurred is called

a post-hoc test

in a factorial analysis of variance, DFwithin can be calculated by

both a and c

as compared to a t test for independent means an anaylsis of variance

can be used in any situation in which a t test for independent means would be used, but a t test for independent means cannot be used in all situations in which an analysis of variance would be used

beta is the probability that

if the research hypothesis is true, the experiment would still fail to support it

a two way factorial design

is "two way" because there are two variables that divide the groups whose influence is being studied

in day to day life, people informally form and test hypothesis. for example, one might wonder if attending every class causes students to get good grades, or if it's that the variation between students (ie. individual differences) is more important. regardless of whether they attend class or not? in this example, the variation between individuals

is analogous to within-group variance

one characteristic of an F ratio is

it is never less than 0

in a 2X2 factorial anova, you are figuring

one interaction and two main effects

if your research hypothesis states that there is a difference between the means of 3 samples, you carry out a(n)____ to test the null hypothesis that 3 populations have equal means

one-way anova

analyzing the data for studying requires that you complete a one-way anova, which you do in SPSS. the output gives you an observed significance value of .032. seeing this, you

reject the null hypothesis

the median is greater than the mean in a distribution that is:

skewed to the left

for a one-way anova, sstotal=_____+ssbetween

sswithin

suppose that you are interested in the relation between number of years working for a particular company of loneliness at work. you survey 40 workers at this company and figure a connection been these two variables of -.90. this is considered a

strong negative linear correlation

when conducting an analysis of variance, when the null hypothesis is true, then all of the following are true EXCEPT

the F ratio will generally be much larger than 1

in a 2X2 analysis of variance, the degrees of freedom for each main effect are:

the number of levels of the variable minus one

the sum of the squared deviations of each score from the mean of its group plus the sum of the squared deviations of each score's group mean from the grand mean equals

the sum of squared deviations of each score from the mean

when the cell means of a factorial design study are graphed, if the patterns on one section of the graph are different from the pattern on the other section

there is an interaction effect

the core idea of one-way anova is

to think of each score in terms of its deviation from the overall mean being divided into two parts

a 2X2 factorial design has

two variables that divides the groups

setting the significance level cut off at .10 instead of the more usual .05 increases the liklihood of

type 1 error

failing to reject the null hypothesis when the research hypothesis is true is referred to as

type 2 error

in an F ratio, the denominator is always the ___ group estimate of the population variance

within


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