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PSYC 012 CHAPTER 8 INQUIZITIVE EXAM WITH CORRECT ACTUAL QUESTIONS AND CORRECTLY WELL DEFINED ANSWERS LATEST 2024 – 2025 ALREADY GRADED A+ $14.99   Add to cart

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PSYC 012 CHAPTER 8 INQUIZITIVE EXAM WITH CORRECT ACTUAL QUESTIONS AND CORRECTLY WELL DEFINED ANSWERS LATEST 2024 – 2025 ALREADY GRADED A+

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PSYC 012 CHAPTER 8 INQUIZITIVE EXAM WITH CORRECT ACTUAL QUESTIONS AND CORRECTLY WELL DEFINED ANSWERS LATEST 2024 – 2025 ALREADY GRADED A+

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  • October 25, 2024
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  • PSYC 012 CHAPTER 8
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PSYC 012 CHAPTER 8 INQUIZITIVE EXAM
WITH CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS
LATEST 2024 – 2025 ALREADY GRADED A+



Identify the true and false statements about the validity of association claims. -
ANSWERS-True Statement(s):

A spurious association can occur when a third variable explains the association
between two others.

False Statement(s):

An increased sample size increases the external validity of an association claim.

If an association claim is not generalizable, it should not be taken seriously.



There is a strong positive association between years of education and income.
The average income for American adults in 2019 was $48,000 and the average
number of years of education was 12.



If an individual has 16 years of education, what would you predict about their
income? - ANSWERS-Their income is probably higher than 48,000.

,When is an outlier most likely to be problematic? - ANSWERS-When the sample
size is small and the outlier is extreme on both of the variables.



Fill in the blanks to complete the passage about testing association claims. -
ANSWERS-An association claim with [ two ] variables can be examined with a [
bivariate ] correlation, and the results of the test have two primary components.
The first component tells you whether the association is positive or negative; it is
referred to as [ direction ]. The second component tells you how closely the
variables are associated; it is referred to as [ strength ].



Siva is investigating an association claim between political beliefs and age. His
data show a correlation of r = .35. However, upon closer examination, Siva finds
that the correlation is much stronger for men than it is for women.

What type of variable is gender is this example? - ANSWERS-moderator



Fill in the blanks to complete the passage about statistical representations of
correlations. - ANSWERS-The term [ effect size ] describes the strength of an
association between variables, and in correlations it is typically captured by a(n) [
r value ]. The precision of the correlation estimate is captured by a(n) [ 95% CI ].



Identify the associations as either statistically significant or not statistically
significant. - ANSWERS-Statistically significant:

r = .65, 95% CI [.33, .97]

r = .23, 95% CI [.03, .40]

r = -.42, 95% CI [-.20, -.64]

, Not Statistically Significant:

r = −.35, 95% CI [−.71, .01]

r = .25, 95% CI [−.15, .55]

r = −.41, 95% CI [−.85, .03]



Francisco is conducting an international study about a new website that is
preparing to launch worldwide. He wants to see whether men or women are
more likely to be interested in the new website so he can know which
demographic to market it to.



After he collects his data, Francisco discovers that whether the men and women
surveyed were from Asia or North America changed how they responded to the
website. Men from Asian countries were the most interested in his website,
whereas women from North American countries were the least interested.



Match each variable in Francisco's study to the correct definition. - ANSWERS-
independent variable: gender

dependent variable: interest

moderator: geographic area



Which two validities are the most important to establish for an association claim?
- ANSWERS-Most Important:

statistical validity

construct validity

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