EXAM QUESTIONS AND CORRECT ANSWERS|
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UPDATE.
Catherine is trying to sell a ticket to the Super Bowl. She is
determining whether or not she should sell a ticket now or wait
until just before the game and try and sell it then. Currently,
someone is offering $350 for the ticket. From research of past
prices, she knows that the tickets immediately before the Super
Bowl are sold for about $500. She determines that there is a 75
percent chance she will be able to sell the ticket immediately
before the Super Bowl. Based on expected payoffs from risk
decision making, what should she do? How much is the difference
if she chooses to sell now Correct Answer Catherine should wait
to sell ticket; the difference will be $25.
Heteroscedasticity Correct Answer A regression in which the
variances in y for the values of x are not equal
,Cumulative Average-Time Learning Model Correct Answer A
learning curve model in which the cumulative average time per
unit declines by a constant percentage each time the cumulative
quantity of units produced is doubled
Dependent Variable Correct Answer The variable whose value
depends on one or more variables in the equation; typically the
cost or activity to be predicted
Independent Variable Correct Answer The variable presumed to
influence another variable (dependent variable); typically it is the
level of activity or cost driver
Analysis of Variance (ANOVA) Correct Answer A statistical
method that helps identify the sources of variability by comparing
their means or averages; it compares the variation within a
sample to the variation between samples to see if any differences
are the result of some contributing factor or if the differences
occur by chance alon
Experience Curve Correct Answer A curve that shows the decline
in cost per unit in various business functions of the value chain as
the amount of these activities increases
,Crossover Analysis Correct Answer Allows a decision maker to
identify the crossover point, which represents the point at which
we are indifferent between the plans
Cyclicality Correct Answer Repetition of up (peaks) or down
movements (troughs) that follow or counteract a business cycle
that can last several years
Linear Programming Correct Answer A mathematical tool used to
optimize a function (the objective function) subject to various
constraints, all of which are linear. Often used to find the
combination of products that will maximize profits or minimize
costs
Simple Linear Regression Correct Answer A form of regression
analysis with only one independent variable
Regression Line Correct Answer the "line of best fit" where the
margin of error at every point is minimized
Data Management Correct Answer The management, including
cleaning and storage, of collected data
Random Variation Correct Answer The variability of a process
which might be caused by irregular fluctuations due to chance
that cannot be anticipated, detected, or eliminated
, Seasonality Correct Answer Regular pattern of volatility, usually
within a single year
Homoscedasticity Correct Answer A regression in which the
variances in y for the values of x are equal or close to equal
Irregularity Correct Answer One-time deviations from expectations
caused by unforeseen circumstances such as war, natural
disasters, poor weather, labor strikes, single-occurrence
company-specific surprises or macroeconomic shocks
Chi-squared Test Correct Answer A hypothesis test that is used to
examine the distribution of categorical data
Expected Value Correct Answer The Expected Value for an
alternative is the sum of all possible payoffs for that alternative,
each weighted by the probability of that payoff occurring
Multiple Linear Regression Correct Answer A statistical method
used to model the relationship between one dependent (or
response) variable and two or more independent (or explanatory)
variables by fitting a linear equation to observed data