ORGL 3331 PreTest

The statistical testing framework demands a disbelief in miracles.

True

There is an unacceptable trade-off that cannot be avoided.

True

The statistician who set a minimum acceptable standard of evidence, which is a

d. Sir Ronald Fisher

Data analytics programs must

d. create accountability for expected results

The Oakland Athletics learned that while doing statistical analysis of players and trying to build a winning team, the best measure of effectiveness is:

d. on-base average

One of the laws of statistics that can surely lead to bad decision making

d. seek and ye shall find

The key factor in why data analytics leads to higher performance is due to

d. the act of measuring often encourages action

Statistical thinking is central to the scientific method, which requires

d. theories to generate testable hypotheses

The most effective measures for managing effectiveness of long lines and freeway traffic aim to take _______ out of the system.

d. variability

Based on statistical testing, we should

f. All of these

Complex data gathering and analysis allows an organization to examine

f. All of these

Evidence has shown the following actions to be ineffective, yet many organizations still follow this line of action:

f. All of these

Organizations that have utilized and leveraged data in driving important decisions include:

f. All of these

Standard terms that everyone on the team should understand include

f. All of these

Statistics provide decision makers with

f. All of these

The most reliable information that can be utilized in decision making includes

f. All of these

Decisions should be made and communicated to the group, only after:

identifying the problem, developing a hypothesis, and collecting, analyzing, and interpreting data

What does the visionary Barnett say about two of our biggest fears?

only b and d

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.

ESSAY

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

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

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

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 issue of false negatives has largely been ignored by the media.

True

Two groups of statistical modelers who have made lasting, positive impacts on our lives include:

a. epidemiologists and credit modelers

An example of a false positive

a. when an athlete who did not cheat is found to have cheated

When a supervisor criticizes or calls out failures, employees should view this as

b. an opportunity to improve and invigorate performance

There are many usages for the 15 million books that Google has digitized. Most importantly,

b. the historical record is being captured and shared across the globe

One of the most influencial mavericks of helping low income Americans to receive fair education and health care was

c. J. Patrick Rooney

If a lot of people come to the same conclusions about something,

c. there must be a certain logic behind it