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POS 3703 Final Exam Questions with 100% Actual correct answers | verified | latest update | Graded A+ | Already Passed | Complete Solution $7.99   Add to cart

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POS 3703 Final Exam Questions with 100% Actual correct answers | verified | latest update | Graded A+ | Already Passed | Complete Solution

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POS 3703 Final Exam Questions with 100% Actual correct answers | verified | latest update | Graded A+ | Already Passed | Complete Solution

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  • June 17, 2024
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POS 3703 Final Exam
.05 Level of Significance - correct answer-The minimum standard.

a - correct answer-The constant; y-intercept; value of y when x=0

Adjusted R-Square - correct answer-Often lose to but always less than regular R-Square.

Alternative Hypothesis - correct answer-HA

Asymmetric Measure of Association - correct answer-Models the independent variable as
the causal variable and the dependent variable as the effect.

b - correct answer-The slope; how much y changes for every unit increase in x

Bivariate Regression - correct answer-Reveals the magnitude of the relationship.

Chi-Square Test of Significance - correct answer-Helps determine statistical significance
when using nominal and ordinal level data.
x2

Concordant Pair - correct answer-Consistent with a positive relationship.

Confidence Interval Approach - correct answer-Uses standard error to determine the
smallest plausible mean difference in the population.

Correlation - correct answer-Tells us the strength and direction of the relationship between
two variables.

Correlation Analysis - correct answer-Produces Pearson's r, gauges direction and strength of
a relationship between two interval-level variables.

Cramer's V - correct answer-Takes a value of between 0 (no relationship) and 1 (perfect
relationship).

Critical Value - correct answer-Marks the upper plausible boundary of random error and
defines Ho's limit.

Discordant Pair - correct answer-Consistent with a negative relationship.

Dummy Variable - correct answer-Variable for which all cases falling into a specific category
assume the value of 1 (presence). Cases not falling into that category assume a value of 0
(absence).

Error Sum of Squares - correct answer-The component of the total sum of squares that is
not explained by the regression equation.

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