Back to marketplace

PRELIM LEC: Quality Assurance (BISHOP)

No description yet. This curated deck is ready for daily study.

Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

The foundation for monitoring performance (known as QC) is

Back (Answer)

descriptive statistics

#2
Front (Question)

This symmetrical shape is often called a

Back (Answer)

“bell curve.”

#3
Front (Question)

describes many continuous laboratory variables and shares several unique characteristics

Back (Answer)

Gaussian distribution

#4
Front (Question)

summarizes the above relationships between the area under a Gaussian distribution and the SD

Back (Answer)

“68–95–99 Rule”

#5
Front (Question)

provides objective an objective measure of the line of best fit for the data

Back (Answer)

linear regression analysis

#6
Front (Question)

Three factors are generated in a linear regression

Back (Answer)

the slope, the y-intercept, and the correlation coefficient (r)

#7
Front (Question)

An alternate approach to visualizing paired data is the difference plot, which is also known as the

Back (Answer)

Bland-Altman plot

#8
Front (Question)

The difference between test and reference method results is called

Back (Answer)

error

#9
Front (Question)

is a measure of the strength of the relationship between the two methods

Back (Answer)

correlation coefficient (r)

#10
Front (Question)

There are two kinds of error measured in COM experiments:

Back (Answer)

random and systematic

#11
Front (Question)

is present in all measurements and can be either positive or negative, typically a combination of both positive and negative errors on both sides of the assigned target value

Back (Answer)

Random error

#12
Front (Question)

influences observations consistently in one direction (higher or lower).

Back (Answer)

Systematic error

#13
Front (Question)

Systematic error can be further broken down into

Back (Answer)

constant error and proportional error

#14
Front (Question)

exists when there is a continual difference between the test method and the comparative method values, regardless of the concentration

Back (Answer)

Constant systematic error

#15
Front (Question)

exists when the differences between the test method and the comparative method values are proportional to the analyte concentration

Back (Answer)

Proportional error

#16
Front (Question)

are used to draw conclusions (inferences) regarding the means or SDs of two sets of data

Back (Answer)

Inferential statistics

#17
Front (Question)

is the cause of lack of precision or the imprecision in a test

Back (Answer)

Random analytic error

#18
Front (Question)

Ability of a method to detect small quantities or small changes in concentration of an analyte

Back (Answer)

Analytic sensitivity

#19
Front (Question)

Ability of a method to detect only the analyte it is designed to determine, also known as cross-reactivity

Back (Answer)

Analytic specificity

#20
Front (Question)

Range of analyte that a method can quantitatively report, allowing for dilution, concentration, or other pretreatment used to extend AMR

Back (Answer)

CRR (clinically reportable range)

#21
Front (Question)

Also known as linear or dynamic range. Range of analyte concentrations that can be directly measured without dilution, concentration, or other pretreatment

Back (Answer)

AMR (analytic measurement range)

#22
Front (Question)

Lowest amount of analyte accurately detected by a method

Back (Answer)

LoD (limit of detection)

#23
Front (Question)

Lowest amount of analyte that can be reported while achieving a precision target (e.g., lowest concentration at which a CV of 10% may be achieved)

Back (Answer)

LoQ (limit of quantitation)

#24
Front (Question)

Refers to the difference between the measured value and the mean expressed as a number of SDs. An SDI = 0 indicates the value is accurate or in 100% agreement; an SDI = 3 is 3 SDs away from the target (mean) and indicates inaccuracy. SDI may be positive or negative

Back (Answer)

SDI (standard deviation index)