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43 Cards in this Set
- Front
- Back
Detects patterns in historical data and extrapolates them forward in time. |
Predictive Analytics |
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Which of the following questions will prescriptive analytics help a company address |
What is the best way of shipping goods from their factories to minimize costs |
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Following are the components of a data set containing purchase details of a shoe manufacturing company |
ITEM COST |
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Describe relationships but do not tell a manager what to do |
descriptive decision models |
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Which decision model incorporates the process optimization |
prescriptive |
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Chart that provides a useful means for displaying data over time |
line chart |
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observations consisting of pairs of variable data are required to construct a ________ Chart |
Scatter |
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Chart show three dimensional data |
Surface |
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Quickly create cross tabulations |
pivot table |
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The ______ is the observation that occurs most frequently |
MODE |
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If the process that generates the outcome is know probabilities can be deduced from theoretical arguments |
Probability |
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What can limit the ability to predict uncertain events that may occur because potential values outside the range of the sample data |
sampel data |
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It selects samples based on expert opinion |
judgement data |
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A _____ Is a description of the approach that is used to obtain samples from a population prior to any data collection activity |
sampling plan |
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regression models of _ data focus on predicting the future |
time series |
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_ mathematical function used in predictive analytics models which define |
power functions |
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In _ Functions represented by y=abx y rises or falls at a constantly increasing rates |
Exponential |
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an _ is an extreme value that is different from the rest of that data |
outlier |
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Uses measures that are believed to influence behavior of a variable that the researcher wishes to forecast |
delphi method |
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Noted consumer response to similar products |
historical analogy |
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_ is a description of the approach that is used to obtain samples from population prior to any data collection activity |
sampling plan |
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It selects samples based on expert opinion |
judgement sampling |
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it is sampling method based on selecting every nth item from population |
periodic sampling |
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dividing pop into subgroups sampling a set and counting a complete census within the subgroups |
cluster sampling |
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_ involves assessing the value of an unknown population parameter such as pop mean pop proportion or pop variance using sample data |
estimation |
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value of the estimator said to be biased
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if the expected value of the estimator does not equal the pop parameter |
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it is the mean distribution of any one sample from a group of samples of varying sizes from a population |
sampling distribution of the mean |
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regression model with single independent variable |
simple regression |
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regression models of _ data focus on predicting the future |
time series |
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it is used when there is a steady decrease or increase over a range of a variable |
linear functions used in predictive analytical models |
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Power functions are what |
math functions used in predictive analytics |
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In _ functions represented by y = abs y rises or falls at constantly increasing rates |
exponential |
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an _ is an extreme value that is different from the rest of the data |
outlier |
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Uses a panel of experts whose identities are typically kept confidential from one another to respond to a sequence of questionnaires |
delphi method |
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It is a single measure that weights multiple indicators and provides a measure of overall expectation |
forecasting |
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what is a stream of historical data known as |
time series |
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repeats at fixed intervals of time typically a year month week or day |
seasonal effect |
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Data mining approach of data exploration and reduction |
identifying groups in which the elements of the groups are in some way similar |
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Involves the developing of analytic models to describe the relationship between metrics that drive business performance like profitability customer sat or employee sat |
cause and effect modeling |
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value of a customer V=RFM/D |
Customer defects a year |
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It is the process of generating random values for uncertain inputs in a model and computing the output variables of interest |
monte carlo simulation |
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if a simulation has multiple output variables that are related to one another the distributions of all output variables can be viewed on a single risk solver platform chart called__ |
trend chart |
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the risk solver platform_ feature allows you to superimpose the frequency distributions from selected forecasts on one chart in order to compare differences and similarities that might not be apparent |
overlay chart |