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Restorative justice focus on repair to the harm done as opposed to:
a. Judge discretion
b. Jury review
c. Punishment
d. Victim suggestions C
What needs to occur in order for mediation to happen in a restorative justice?
a. Corrective action
b. Desire from victim
c. Discretion from judge
d. Jury verdict BC
Restorative justice is a pretty easy procedure.
a. False
b. True B
Restorative justice is a pretty hard procedure
a. False
b. True A
Restorative justice has some very significant outcomes.
a. False
b. True B
Restorative justice has some very insignificant outcomes.
,a. False
b. True A
Participating in restorative justice predicts improved outcomes on what?
a. Accountability
b. Apology offered
c. Better understanding
d. Jury unnecessary
e. Low cost for both parties
f. Lower recidivism
g. Offender not allowed to speak ABCF
Offender have lower recidivism rate which means:
a. Are less likely to commit crimes again in the future.
b. Are less likely to commit the same crimes again in the future.
c. Are more likely to commit crimes again in the future.
d. Are more likely to commit same crimes again in the future. A
Click purchases, risk of disease, classification of photos is an example of what?
a. Data science
b. Observed correlation
c. Predictive analytics
d. Prescriptive analytics C
Predictive analytics examples include:
a. Classification of photos
b. Click purchases
,c. Observed correlation
d. Risk of disease ABD
An enormous amount of work in predictive analytics is done by:
a. Data analyst
b. Data science researchers
c. Managers
d. System architects B
Data Science and Predictive Analytics happens when predictions involved:
a. Common models
b. High-end programming
c. Structured quantitative data sets
d. Unstructured data BD
Prediction without data science include:
a. Common models
b. High-end programming
c. Structured quantitative data sets
d. Unstructured data AC
Examples of common models:
a. Decision trees
b. High-end programming
c. Linear regression
d. Unstructured data AC
, What models are extremely effective, easy, and is interpretable?
a. Decision trees
b. High-end programming
c. Linear regression
d. Unstructured data AC
256. It's entirely possible to do predictions without the full tool kit of what?
a. Data Analysis
b. Data Analytics
c. Data Science
d. Prediction C
257. Clustering, counting, mapping, and visualization are examples of:
a. Data science without deep learning
b. Data science without machine learning
c. Data science without prediction
d. Data science without prescriptive C
258. It's possible to do data science without necessarily being involved in what if you are only
doing clustering, counting, mapping, or visualization?
a. Deep Learning
b. Machine Learning
c. Predictions
d. Prescriptive C
259. What method can help solve an infinite series problem?
a. Algebra