Session 1 Flashcards

1
Q

Type of error occurs in pre, analytics, or post?

Documented policies for specimen rejection

A

Preanalytics

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2
Q

Type of error occurs in pre, analytics, or post?

Proper specimen labeling

A

Preanalytics

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3
Q

Type of error occurs in pre, analytics, or post?

Calibration of instruments

A

Analytics

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4
Q

Type of error occurs in pre, analytics, or post?

Reagents properly prepared and labeled

A

Analytics

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5
Q

Type of error occurs in pre, analytics, or post?

Reagents properly prepared and labeled

A

Analytics

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6
Q

Type of error occurs in pre, analytics, or post?

Corrective action for failed QC

A

Analytics

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7
Q

Type of error occurs in pre, analytics, or post?

Preventative maintenance

A

Analytics

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8
Q

Type of error occurs in pre, analytics, or post?

Method evaluation

A

Analytics

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9
Q

Type of error occurs in pre, analytics, or post?

Routing of sample for follow-up/confirmatory testing

A

Postanalytics

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10
Q

Type of error occurs in pre, analytics, or post?

Delays in reporting (turnaround time)

A

Postanalytics

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11
Q

Data set

A

a group of measurements of like kind

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12
Q

Population

A

a collection of people or things from which we may collect sample data to draw a conclusion.

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13
Q

Sub-population or Sample

A

a data set randomly collected from a defined population.

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14
Q

Frequency Distribution

A

a graphic display of data comparing the frequency vs measurement.

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15
Q

Standard Normal Curve

A

Bell Shaped Curve or a Gaussian Distribution – a symmetrical frequency distribution where the left half is a mirror image of the right half and mean, median and mode are equal (or almost equal).

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16
Q

Mean

A

average of all the results

17
Q

Median

A

the middle value of the range of values

18
Q

Mode

A

the most frequent measurement

19
Q

Skewness

A

a measure of asymmetry

20
Q

Standard Deviation (SD)

A

A quantitative expression to describe the dispersion of a data set. Not applicable if data is non-gaussian.