Bus 101: Lecture 4 Flashcards

1
Q

Principles for data literacy

A

anticipation, practicality, understandable, attention to detail

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2
Q
  1. Anticipation
A

what are the likely consequences of this decision?

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3
Q
  1. Practical/useful
A

will the analytics be useful / worth the cost?

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4
Q
  1. Understandable
A

Are non-technical decision-makers able to understand and use the information?

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5
Q
  1. Attention to detail
A

Small errors can undermine confidence in the results and recommendations

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6
Q

Consent is meaningful when…

A

individuals are provided with clear information explaining what organizations are doing with their information

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7
Q

Someone can also consent when they…

A

don’t opt out in a reasonable time after given a reasonable opportunity to decline by the organization

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8
Q

implied consent

A

a person voluntarily provides the information to the organization and it is reasonable for that purpose.

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9
Q

physical security

A

locked doors and alarms

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10
Q

technological security

A

password protection and encryption on computers and mobile devices

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11
Q

administrative security

A

confidentiality agreements and terms of use for information technology

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12
Q

Discrimination…

A

may or may not be intentional

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13
Q

discrimination has occurred when…

A

an individual has a protected characteristic, and they suffer an adverse impact as a result.

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14
Q

Bias (definition 1)

A

prejudice in favour of or against one thing, person, or group compared with another, usually in a way considered to be unfair.

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15
Q

Bias (Stats definition)

A

a systematic distortion of a statistical result due to a factor not allowed for in its derivation.

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16
Q

Confirmation bias

A

only acknowledging information that supports our position

17
Q

selection bias

A

using data that is not representative of the population

18
Q

historical bias

A

Not accounting for the existing impacts of social, cultural, religious prejudices

19
Q

survivorship bias

A

only looking at the winners

20
Q

availability bias

A

only using immediately available information

21
Q

outlier bias

A

outliers may skew your interpretation of the data.