BEHAVIOURAL SCIENCES FINAL EXAM PREP WITH ALL
CORRECT & 100% VERIFIED ANSWERS|ALREADY
GRADED A+
Effect sizes Correct answer-d = 0.2 Small effect (mean difference around 0.2 standard deviation)
d = 0.5 Medium effect (mean difference around 0.5 standard deviation)
d = 0.8 Large effect (mean difference around 0.8 standard deviation)
Cohen's d - what is it
what tests is it used for Correct answer-a measure of effect size that assesses the difference
between two means in terms of standard deviation, not standard error
use cohen's d when doing z-score test
use cohen's estimated d when doing the t-test
r2 treatment effect size Correct answer-0.01 small effect
0.09 medium effect
0.25 large effect
bar graph vs histogram Correct answer-bar graph has spaces between (nominal)
histogram has no spaces between (interval/ratio). make sure to ensure the bar extends to the real
limits.
real limits Correct answer-located at the top and bottom of the INTERVAL
continuous - 7, lower limit 6.5, upper limit 7.5
continuous - 40-49, lower limit 39.5, upper limit 49.5
discrete (number of siblings) - 6-10, lower limit 6, upper limit 10
Population notation Correct answer-Capitals are usually population
μ = mean
σ = standard deviation
σ2 = variance
N = number in population
ρ = the population correlation
Sample notation Correct answer-Lowercase are sample
M = mean
s = standard deviation
, s2 = variance
n = number in sample
sM = estimated standard error
r = the sample correlation
Parameter Correct answer-numerical value that describes a population
descriptive statistics Correct answer-procedures that summarize, organize, simplify
sampling error Correct answer-natural error that exists between a sample statistic and the
corresponding population parameter
experimental method Correct answer-cause and effect, one variable manipulated, other variable
observed
non-experimental method and example Correct answer-comparing two groups of scores,
researcher doesn't control which group participants belong in. non-equivalent groups (boys and girls)
and pre-post studies.
(example - boys and girls would be the quasi independent variable)
two reasons why a frequency
distribution is a basic concept in statistics Correct answer-1. to simplify the organization and
presentation of data for descriptive statistics.
2. demonstrate the data and provide a visual way of manipulating it to gain statistical insight.
approx how many class intervals should there be for a set of data? Correct answer-10
polygon Correct answer-connect the dots. make sure to connect line at the xy intercept and bring
to the floor on the right side.
for intervals, put the dot at the mid point between the two interval scores
positive skew Correct answer-
negative skew Correct answer-
percentile rank and percentile Correct answer-Percentage of scores falling at or below a specific
score.
PR = Percentile rank is a PERCENTAGE -- 60%
Pr = Percentile is a SCORE -- X=43 is called the 60th percentile
Purpose of central tendency Correct answer-Find the single score that is most typical or best
represents the entire group
do all tables and graphs need titles? Correct answer-yes!
Is there a formula to find the median for scores that are not in intervals? Correct answer-no