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a chi-squared test is conducted when.... - CORRECT ANSWER: both of the variable are
nominal/ordinal data
a major advantage of the chi-squared tests is that they.... - CORRECT ANSWER: can
be used with any level of measurement
a two-sample t-test is an appropriate test when... - CORRECT ANSWER: two samples
are being compared on an interval or ratio level variable
ANOVA level of measurement - CORRECT ANSWER: interval/ ratio
independent: qualitative
dependent: interval/ ratio
as the means of two groups become more similar, Cohen's d will... - CORRECT
ANSWER: approach 0
calculating correlation (r) - CORRECT ANSWER: values go fro -1 to +1 = strength of
relationship
0 = no relationship
1 = perfect linear relationship
+/- give direction of relationship
\=-
/= +
,Cohen's d for t-tests - CORRECT ANSWER: one-sample t-test: how far away the
sample mean is
repeated measures t-test: the average change in standard deviations above zero
two-sample t-test: pooled standard deviations, how many standard deviations they are
apart from each other
Cohen's d indicates the number of... - CORRECT ANSWER: standard deviations
between two means
correlations (using the Pearson product moment correlation coefficient) may be
uninterpretable and inappropriate if the data... - CORRECT ANSWER: have a nonlinear
relationships
directional hypotheses (- correlation) - CORRECT ANSWER: H0: r -> 0 (rho -> 0)
HA: r < 0 (rho < 0)
directional hypothesis (+ correlation) - CORRECT ANSWER: H0: r -< 0 (rho -< 0)
HA: r > 0 (rho > 0)
Eta squared (n^2) - CORRECT ANSWER: an effect size that calculates the percentage
of variability in the dependent variable accounted for by the independent variable
-based on sum of squares
= SS effect / SS effect + SS error
F distribution - CORRECT ANSWER: The distribution that models the ratio of two
variance estimates; used in ANOVA for obtaining the P-value for testing equality of three
or more means
-only has positive values
-two degree of freedom calculations
, goodness of fit test - CORRECT ANSWER: a test for comparing observed frequencies
with theoretically predicted frequencies
-one categorical variable at a time
hypotheses for goodness of fit test - CORRECT ANSWER: H0: Observations are
equally distributed across categories, or,
H0: Observations are proportionally distributed across categories
HA: Observations are not equally distributed across categories, or,
HA: Observations are not proportionally distributed across categories
hypotheses for the test for independence - CORRECT ANSWER: H0: The distribution of
observations is independent for the two variables
HA: The distribution of observations is not independent for the two variables
if a person has a middling score on X but a very high score on Y, what would their effect
on the regression equation be? - CORRECT ANSWER: they would raise the intercept
but not change the slope
If a regression equation is calculated for a sample of data and then a person who is an
outlier on both X and Y is added, what would likely happen to the regression equation? -
CORRECT ANSWER: the new score would likely change both the intercept and the
slope
If a research conducts an inferential test (such as a t-test) and retains (i.e., fails to
reject) the null hypothesis, then what is the probability of a Type I error? - CORRECT
ANSWER: 0.00
If a researcher conducts a chi-squared goodness-of-fit test using an alpha of .05 and
gets an observed p-value of .10, then she.. - CORRECT ANSWER: should retain the
null hypothesis