Laboratory statistics Flashcards

1
Q

Average or arithmetic mean of a data set

A

Mean (𝒙̅)

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2
Q

Midpoint of a data set after rank-ordering the values

A

Median

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3
Q

Most frequently occurring value in a data set

A

Mode

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4
Q

Formula for standard deviation

A

Standard deviation (s) is the square root of variance.

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5
Q

Term for the square of the standard deviation

A

Variance (s²)

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6
Q

Best indicator of precision in a data set

A

Coefficient of Variation, which should be <10%.

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7
Q

Difference between the highest and lowest values in a data set

A

Range

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8
Q

In a Gaussian/Normal distribution, how are data points distributed?

A

Symmetrically around the mean in a bell-shaped curve.

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9
Q

In a Gaussian distribution, what are the relationships between the mean, median, and mode?

A

They are identical.

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10
Q

Rule that describes the distribution of data points in a normal distribution

A

Empirical rule: 68% ±1s, 95% ±2s, 99.7% ±3s.

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11
Q

Pair of medical decision points that span the limits of results expected for a healthy population.

A

Reference interval

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12
Q

Requires at least 20 study individuals; adopted if <10% (1-2 out of 20) fall outside the range.

A

Verifying a reference interval

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13
Q

Establishing a reference interval required number of study individuals

A

At least 120

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14
Q

Reference interval establishment should have a confidence interval of:

A

0.95

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15
Q

First step in method evaluation; usually done by running two control materials twice a day over a 10-day period.

A

Precision study

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16
Q

Involves spiking a sample with a known amount of an analyte and determining how much of it can be detected by the method in the presence of other compounds in the matrix.

A

Recovery study

17
Q

Compares the means of two groups of data or the accuracy of two methods.

A

t test

18
Q

Compares the SD of two groups of data or the precision of two procedures.

A

F test

19
Q

Used to compare two methods using the best fit line through the data points.

A

Linear regression

20
Q

Independent variable/ref method in linear regression.

A

x (VOYD)

21
Q

Dependent variable/new method in linear regression.

A

y (VOYD)

22
Q

Ability of a method to detect the smallest concentration of an analyte.

A

Analytical sensitivity (screening test)

23
Q

Ability of a method to detect only the analyte of interest.

A

Analytical specificity (confirmatory)

24
Q

Ability of a test to detect a given disease or condition; proportion of individuals with the disease who have a positive test result.

A

Diagnostic sensitivity

25
Q

Ability of a test to detect the absence of a given disease or condition; proportion of individuals with no disease who have a negative test result.

A

Diagnostic specificity

26
Q

Probability that a positive test result indicates disease; proportion of individuals with a positive result who truly have the disease.

A

Positive predictive value

27
Q

Probability that a negative test result indicates absence of disease; proportion of individuals with a negative result who truly do not have the disease.

A

Negative predictive value