Task 2 - SDT Flashcards

1
Q

Noise can be qualified in two main sources…

A

External and Internal

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2
Q

What does a Correct Rejection entail?

A

A correct maintenance of the hypothesis that there is no signal among the noise.

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3
Q

In what way does the signal strength relative to the noise impact the density function?

A

It shifts is horizontally.

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4
Q

What is the criterion in SDT?

A

The cu-off value on X, where the decision is made, whether a signal is present or not.

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5
Q

The discriminability Index d’ is the ratio of…

A

The difference between the means and the standard deviation

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6
Q

What is plotted on a ROC Graph?

A

X-Axis: False Alarm Rate

Y-Axis: Hit Rate

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7
Q

When is the ROC curve less bent upwards?

A

When the signal is weak, so less optimal criterions can be established.

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8
Q

What does the objectively optimal beta depend on?

A

The probability of a signal occurring.

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9
Q

How does the subjectively optimal beta differ from the objective version?

A

It takes into account the cost-benefit ratios.

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10
Q

Beta should be smaller, if subjectively …

A

Misses are costly

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11
Q

If hits are worth more than misses are costly, the criterion should be:

A

Liberal

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12
Q

What do people usually react more quickly to when adjusting their beta value: Changing signal probabilities or changing payoff ratios?

A

Payoff ratios

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13
Q

What exactly does the ROC curve show?

A

The line where sensitivity is constant across changing levels of bias.

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14
Q

How is Beta represented in ROC curves?

A

It is the ratio of the X and Y corrdinates.

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15
Q

When a person answers every item using the flip of a coin, how would the corresponding ROC curve look?

A

It would be a straight line with a slope of 1.

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16
Q

What main signal characteristic should be considered when choosing a criterion threshold?

A

The frequency of occurrence.

17
Q

What happens to the density functions if nothing changes but the signal becomes stronger?

A

There is less overlap because the signal curve moves to the right.

18
Q

What is a mathematical definition of Beta in terms of probabilities?

A

Beta = (Probability of Xc given a signal) / (Probability of Xc without a signal)

19
Q

What is a sluggish beta?

A

When people adjust their criterion not fast enough in response to some external factors.