BADM 7200 EXAM 2 | FULL QUESTIONS AND ANSWERS | 2026 UPDATE | 100% CORRECT –
LSU
CORE DOMAINS
Descriptive Statistics and Data Interpretation
Hypothesis Testing and Statistical Significance
Regression Analysis and Model Fit
Sampling Methods and Study Design
Cognitive Biases in Managerial Decision-Making
Group Decision-Making and Groupthink
Aggregate Demand and Aggregate Supply
IS-LM Model and Macroeconomic Equilibrium
Monetary and Fiscal Policy
Open Economy Macroeconomics
INTRODUCTION
This comprehensive examination assesses the advanced business administration and
macroeconomic knowledge required for BADM 7200 at Louisiana State University. It evaluates
descriptive and inferential statistics, regression analysis, cognitive biases in managerial decision-
making, and key macroeconomic models including AD-AS and IS-LM. The examination employs
multiple-choice and scenario-based questions to simulate realistic managerial and economic
encounters. Emphasis is placed on critical thinking, quantitative reasoning, model-based analysis,
,and evidence-based decision-making. This assessment prepares candidates for the rigor of
graduate-level business administration and real-world application.
SECTION ONE: QUESTIONS 1–50
1. Which measure is most appropriate for describing the average of highly skewed financial
data?
A. Mode
B. Mean
C. Median
D. Range
🟢 C. Median
🔴 RATIONALE: The median is resistant to extreme values and best represents skewed
distributions. The mean is pulled by outliers, making it misleading for skewed data. The mode
and range do not represent central tendency appropriately.
2. A p-value of 0.03 indicates:
A. 3% chance null hypothesis is true
B. 97% chance null is true
C. Strong evidence against the null hypothesis
D. No statistical significance
, 🟢 C. Strong evidence against the null hypothesis
🔴 RATIONALE: A p-value below 0.05 typically indicates statistical significance. A p-value of 0.03
means there is a 3% probability of observing the data if the null hypothesis were true, providing
strong evidence against the null.
3. Which regression output value indicates model fit strength?
A. Intercept
B. R-squared
C. P-value
D. Standard error
🟢 B. R-squared
🔴 RATIONALE: R² explains the proportion of variance explained by the model. It ranges from 0
to 1, with higher values indicating better model fit. The intercept is a coefficient, the p-value tests
significance, and standard error measures precision.
4. Multicollinearity occurs when:
A. Variables are unrelated
B. Independent variables are highly correlated
C. Dependent variable is constant
D. Sample size is too large
🟢 B. Independent variables are highly correlated
🔴 RATIONALE: This distorts regression coefficients. When independent variables are highly
LSU
CORE DOMAINS
Descriptive Statistics and Data Interpretation
Hypothesis Testing and Statistical Significance
Regression Analysis and Model Fit
Sampling Methods and Study Design
Cognitive Biases in Managerial Decision-Making
Group Decision-Making and Groupthink
Aggregate Demand and Aggregate Supply
IS-LM Model and Macroeconomic Equilibrium
Monetary and Fiscal Policy
Open Economy Macroeconomics
INTRODUCTION
This comprehensive examination assesses the advanced business administration and
macroeconomic knowledge required for BADM 7200 at Louisiana State University. It evaluates
descriptive and inferential statistics, regression analysis, cognitive biases in managerial decision-
making, and key macroeconomic models including AD-AS and IS-LM. The examination employs
multiple-choice and scenario-based questions to simulate realistic managerial and economic
encounters. Emphasis is placed on critical thinking, quantitative reasoning, model-based analysis,
,and evidence-based decision-making. This assessment prepares candidates for the rigor of
graduate-level business administration and real-world application.
SECTION ONE: QUESTIONS 1–50
1. Which measure is most appropriate for describing the average of highly skewed financial
data?
A. Mode
B. Mean
C. Median
D. Range
🟢 C. Median
🔴 RATIONALE: The median is resistant to extreme values and best represents skewed
distributions. The mean is pulled by outliers, making it misleading for skewed data. The mode
and range do not represent central tendency appropriately.
2. A p-value of 0.03 indicates:
A. 3% chance null hypothesis is true
B. 97% chance null is true
C. Strong evidence against the null hypothesis
D. No statistical significance
, 🟢 C. Strong evidence against the null hypothesis
🔴 RATIONALE: A p-value below 0.05 typically indicates statistical significance. A p-value of 0.03
means there is a 3% probability of observing the data if the null hypothesis were true, providing
strong evidence against the null.
3. Which regression output value indicates model fit strength?
A. Intercept
B. R-squared
C. P-value
D. Standard error
🟢 B. R-squared
🔴 RATIONALE: R² explains the proportion of variance explained by the model. It ranges from 0
to 1, with higher values indicating better model fit. The intercept is a coefficient, the p-value tests
significance, and standard error measures precision.
4. Multicollinearity occurs when:
A. Variables are unrelated
B. Independent variables are highly correlated
C. Dependent variable is constant
D. Sample size is too large
🟢 B. Independent variables are highly correlated
🔴 RATIONALE: This distorts regression coefficients. When independent variables are highly
