DDDM 2 ORGL 3331
There is an unacceptable trade-off that cannot be avoided.
True
Data analytics programs must
create accountability for expected results
Two groups of statistical modelers who have made lasting, positive impacts on our lives include:
epidemiologists and credit modelers
Decisions should be made and communicated to the group, only after:
identifying the problem, developing a hypothesis, and collecting, analyzing, and interpreting data
You know what statistics is, right? Can you define "What is Statistics?" If you had to explain why statistics useful, and what statistics useful for, would you have an answer? Do you know how statistics makes a difference in all our lives, all the time? Describe how interpretation, translation, and communication of data into information aids in decision-making. Statistics is the science of learning from data, and of measuring, controlling and communicating uncertainty. Using Data to make informed predictable decisions. There is varibles that may or may not supercede the information. But the goal would be to make decisions based on factual data. Using data to make decisions based on interpretation of one's questions, what measurement can be controlled by the data. Lastly, demonstrating how the data is relative to the conclusion of the question.
"Statistics are essential, relevant, easy to produce, easy to understand, valuable, and a powerful source of competitive advantage." (Fraser, 2016)
Evidence has shown the following actions to be ineffective, yet many organizations still follow this line of action: f. All of these e. None of these d. face to face interviews c. incentive pay for student performance b. paying for performance a. ineffective treatment for medical conditions
All of these
Evidence has shown the following actions to be ineffective, yet many organizations still follow this line of action: a. ineffective treatment for medical conditions b. paying for performance c. incentive pay for student performance d. face to face interviews e. None of these f. All of these
All of these
Organizations that have utilized and leveraged data in driving important decisions include: f. All of these e. None of these d. The National Highway Traffic Safety c. The Social Security Administration b. The Navy a. The Coast Guard
All of these
Standard terms that everyone on the team should understand include a. mean b. standard deviation c. benchmarking d. counts e. None of these f. All of these
All of these
Statistics provide decision makers with a. a focus on the big picture b. evidence to back up assertions c. evidence of relationships and connections d. an assurance of quality e. None of these f. All of these
All of these
The most reliable information that can be utilized in decision making includes a. instinct b. prior system errors c. experience d. data e. None of these f. All of these
All of these
Correlation and Causation models are really saying the same thing.
False
Critics fault drug tests for destroying careers (false positives) and polygraphs for missing potential criminals (false negatives), therefore such technology is little value due to the errors.
False
Data based decision making is cyclical, therefore it has a clear starting and ending and should be scheduled rigorously.
False
Everyone knows that a picture is worth a thousand words.
False
Making decisions based on intuition and instinct is just as valuable as making decisions based on data if the decision maker has enough experience.
False
Organizations must collect hundreds of performance measures in order to be meaningful and effective.
False
Organizations must have the latest technology to be successfully utilizing and leveraging data in decision making.
False
Statisticians focus on average values, not variations.
False
Subjectivity must be relied upon in highly sensitive or risky decisions
False
Today's managers face fewer complexities than ever before due to all the easy software that can calculate all important measures for them.
False
When multiple factors are contributing to a measure, it is impossible to untangle them.
False
One of the most influencial mavericks of helping low income Americans to receive fair education and health care was
J. Patrick Rooney
The statistician who set a minimum acceptable standard of evidence, which is a
Sir Ronald Fisher
Aristotle proposed - the more we know, the more we know what we don't know!
True
Before concluding that one thing causes something else, you need to know why it does and how it does.
True
Data and analytics has been shown to have the power to transform all kinds of organizations, including units of the criminal justice system.
True
Data is neutral, and that is a good thing.
True
How racial gaps in test scores should be interpreted is an extremely challenging and contentious matter for all concerned.
True
In any organization, knowledge derived from data collection, analysis, and interpretation can be the one thing that creates a competitive advantage.
True
In order for data to do its job, an organizations team must be able to read and interpret it correctly.
True
Pressures to practice evidence based decision making are reducing preventable errors.
True
Reliance on indirect evidence and the sway of false negatives relative to false positive tend to produce lots of false alarms
True
Researchers often try to trick us with "story time," as they drift effortlessly from data to theory/assumptions.
True
Statisticians are a curious lot: when given a vertical set of numbers, they like to look sideways.
True
The growing pile of studies on the human and financial costs of employee disengagements, management distrust, poor group dynamics, faulty incentive schemes, and other preventable damage suggests a need for evidence-based management movement.
True
The issue of false negatives has largely been ignored by the media.
True
The statistical testing framework demands a disbelief in miracles.
True
When a supervisor criticizes or calls out failures, employees should view this as
an opportunity to improve and invigorate performance
Statistical thinking is central to the scientific method, which requires
theories to generate testable hypotheses
If a lot of people come to the same conclusions about something,
there must be a certain logic behind it
Strategies such as employing unified data architecture (e.g., Verizon) has found success in creating
value for customers
The reason that a steroid test can never be perfectly accurate is due to
variability
he most effective measures for managing effectiveness of long lines and freeway traffic aim to take _______ out of the system.
variability
An example of a false positive
when an athlete who did not cheat is found to have cheated
Based on statistical testing, we should Correct Answer f. All of these e. None of these d. believe that rare is impossible c. evaluate data against the background b. willingly accept the risk of death Incorrect Response a. avoid playing lotteries
All of these
Complex data gathering and analysis allows an organization to examine a. their current strategies b. their past performance c. future goals d. decision making e. None of these f. All of these
All of these
The key factor in why data analytics leads to higher performance is due to
the act of measuring often encourages action
There are many usages for the 15 million books that Google has digitized. Most importantly,
the historical record is being captured and shared across the globe
The Oakland Athletics learned that while doing statistical analysis of players and trying to build a winning team, the best measure of effectiveness is:
on-base average
What does the visionary Barnett say about two of our biggest fears?
only b and d
One of the laws of statistics that can surely lead to bad decision making
seek and ye shall find
