Random Errors - Error in measurement caused by unpredictable
statistical fluctuations
Information Bias - A prejudice in the data that results when either the
respondent or the interviewer has an agenda and is not presenting impartial
questions or responding with truly honest responses, respectively
Ratio Data - Similar to interval data in that the data is ordered within a
range and with each data point being an equal interval apart, also has a
natural zero point which indicates none of the given quality
Data Set - A collection of related data records on a storage device.
Nominal Data - Sometimes called categorical data or qualitative data, this
data type is used to label subjects or data by name
Reliable Data - Data that is consistent and repeatable
Davenport-Kim Three Stages Model - A decision-making model developed
by Thomas Davenport and Jinho Kim that consists of three stages:
Framing the problem
Solving the problem
Communicating the problem
Blind study - A study performed where the participants are not told if they
are in the treatment group or control group
Double-Blind Study - A study performed where neither the treatment
allocators nor the participant knows which group the participant is in
Measurement Bias - A prejudice in the data that results when the sample
is not representative of the population being represented.
Analytics - The discovery, analysis, and communication of meaningful
patterns in data.
,Data Management - The management, including the cleaning and storage,
of collected data
Triple-Blind Study - A study performed where neither the treatment
allocator nor the participant nor the response gatherer knows which group
the participant is in
Omission Error - An error because something ( for example, data or
survey responses) is missing.
Relational Database - A database structured to recognize relations among
stored items of information
Ordinal Data - Data that places data objects into an order according o
some quality with higher order indicating more of that quality
Discrete Data - Data that can only take on whole values and has clear
boundaries
Interval Data - Data that is ordered within a range and with each data
point being an equal interval apart
Valid Data - Data resulting from a test that accurately measures what it is
intended to measure
Big Data - A catch-phrase that describes a massive volume that is so large
that it's difficult to process using traditional database software techniques
Systematic errors - Errors in measurement that are constant within a data
set, sometimes caused by faulty equipment or bias.
Benchmarks - Standards or points of reference for an industry or sector
that can be used for comparison and evaluation.
Continuous Data - Data that can lay along any point in a range of data
Statistics - The science that deals with the interpretation of numerical
facts or data though theories of probability. Also, the numerical facts or data
themselves.
, Decision Tree Analysis - The diagram of possible alternatives and their
expected consequences in order to formulate passible courses of action in
order to make decisions
Expected Monetary Value (EMV) Analysis - A statistical technique that
calculates the average outcome when the future includes scenarios that may
or may not happen.
Response Rates - The number of people who respond to a marketing offer
(often expressed as a percentage of the number of responses divided by the
number of people that ere targeted mail, email etc.)
Click-through rates - A common metric to measure the success of an email
campaign. Total number of clicks on a hotlink(s) in an email divided by the
number of emails sent. Includes multiple clicks by a unique user.
Open Rate - The number of email message recipients who opened an
email, usually as a percentage of the number of emails sent or delivered. The
open rate is considered a key metric for judging an email marketing campaign.
Transactional Data - Data that records a time and relevant reference data
needed for a particular transaction record; can be financial, involving
everything from a purchase to shipping status to a product return.
Response Bias - When respondents to a survey say what they believe the
questioner wants to hear. This bias can occur as a result of the wording of a
question.
Conscious bias - The surveyor is actively seeking a certain response to
support his or her cause. Bias occurs when the researcher manipulates the
phrasing of questions in order to elicit the desired response
Missing data and refusals - This misuse occurs when a certain part of the
sample gets lost or subjects refuse to contribute ti the overall data collection
Small sample size - Sample size is too small to make inferences
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