HBX CORE FINAL EXAM 2025 |
GUARANTEED ACCURATE
ANSWERS |VERIFIED
A/B Test - ACCURATE ANSWERS✔✔ 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
Adjusted R-Squared - ACCURATE ANSWERS✔✔ 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.
, Alternative Hypothesis - ACCURATE ANSWERS✔✔ 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.
Asymmetric Distribution - ACCURATE ANSWERS✔✔ Probability
distribution that is not symmetric AROUND THE MEAN
Average/Mean - ACCURATE ANSWERS✔✔ For a distribution with
discrete values, mean = values of all data points in the set / number of
data points
Base Case - ACCURATE ANSWERS✔✔ Category of categorical
variable for which a dummy variable is NOT included in a regression
model. A regression model with a categorical variable that has n
categories should have n-1 dummy variables. The coefficients of the
dummy variables included in the regression model are interpreted in
relation to the base case. The analyst can select any category to be
excluded from the regression model; however, different base cases lead
to different interpretations of the dummy variables' coefficients. Ex:
Suppose we are trying to determine the average difference in height
between men and women in a sample, and suppose that on average men
are 5 inches taller than women in the sample. If we use Female as the
base case then the coefficient for the dummy variable for Male would be
+5. If we use Male as the base case, the coefficient for the dummy
variable for Female would be -5.
GUARANTEED ACCURATE
ANSWERS |VERIFIED
A/B Test - ACCURATE ANSWERS✔✔ 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
Adjusted R-Squared - ACCURATE ANSWERS✔✔ 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.
, Alternative Hypothesis - ACCURATE ANSWERS✔✔ 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.
Asymmetric Distribution - ACCURATE ANSWERS✔✔ Probability
distribution that is not symmetric AROUND THE MEAN
Average/Mean - ACCURATE ANSWERS✔✔ For a distribution with
discrete values, mean = values of all data points in the set / number of
data points
Base Case - ACCURATE ANSWERS✔✔ Category of categorical
variable for which a dummy variable is NOT included in a regression
model. A regression model with a categorical variable that has n
categories should have n-1 dummy variables. The coefficients of the
dummy variables included in the regression model are interpreted in
relation to the base case. The analyst can select any category to be
excluded from the regression model; however, different base cases lead
to different interpretations of the dummy variables' coefficients. Ex:
Suppose we are trying to determine the average difference in height
between men and women in a sample, and suppose that on average men
are 5 inches taller than women in the sample. If we use Female as the
base case then the coefficient for the dummy variable for Male would be
+5. If we use Male as the base case, the coefficient for the dummy
variable for Female would be -5.
