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HBS Harvard Business School HBX Core Final Exam Prep Questions and Answers 100% Pass
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HBS Harvard Business School HBX CoreFinal Exam Prep Questions and Answers
100% Pass
David Mungai [Date] [Course title]
, HBS Harvard Business School HBX Core
Final Exam Prep Questions and Answers
100% Pass
1) An experiment that compares the value of a dependent
variable (ex = likelihood that a website visitor purchases an item)
across two different groups (control group and treatment group).
Members of each group must be RANDOMLY SELECTED to
ensure that the only difference between the groups is the
"MANIPULATED" independent variable (ex = size of the font on
two otherwise identical websites)...a hypothesis test that tests
whether the means of the dependent variable are the same
across the two groups; also used to test whether another
parameter - ex = standard deviation - is the same across two
groups - Answer>> A/B Test
Measure of explanatory power of a regression analysis. Adjusted
R squared = R-squared*adjustment factor that decreases slightly
as each independent variable is added to regression model.
Adjusted R-squared DROPS when a new independent variable is
added that does not improve the model's true explanatory power
(vs. R-squared which never decreases when a new independent
variable is added to a regression model). Adjusted R-Squared
should always be used when comparing the explanatory power of
regression models that have different numbers of independent
variables. - Answer>> Adjusted R-Squared
Theory or claim we are trying to substantiate and stated as
OPPOSITE OF A NULL HYPOTHESIS. When data allow us to
nullify the null hypothesis, we substantiate the alternative
hypothesis. - Answer>> Alternative Hypothesis
Probability distribution that is not symmetric AROUND THE
MEAN - Answer>> Asymmetric Distribution
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