Module 2: Quality Improvement: Tools and Procedures Flashcards
Refers to collecting, evaluating, and interpreting data or information to extract meaningful insights, identify patterns, draw conclusions, and make informed decisions
Information Analysis
Mathematical science pertaining to the collection, analysis, interpretation, and
presentation of data.
Statistics
Defined as discrete entities described objectively without interpretation and can
be classified as either quantitative and or qualitative data
Data
Are measurable data that focus on numbers and frequencies such as repeat analysis data or patient waiting time
Quantitative Data
Provide information about descriptive
characteristics and are based on observation rather than measurable
data
Qualitative Data
comprises the entire set or group of items being measured
Population
is the number of items actually measured from a population
Sample
is the information measurements acquired evaluating the particular sample
Data Set
is the number of times a particular value of variables occur or the number of
observations of an event
Frequency
are those variables that are observed in statistical studies or change in response
to independent variables are not controlled during study
Dependent Variables
are those that are deliberately manipulated to invoke a change on the dependent
variables
Independent Variables
are those variable being studied that have an infinite range of possible mathematical values
Continuous Variables
are those variables being studied that have only two opposing choices such as male or female and on and off
Dichotomous Variables
Is the position of sample frequency
Central Tendency
Refers to the consistency of repeated measurements the same thing or the
reproducibility or variation of a result and sometimes as precision
Reliability
Refers to the ability to measure what is reported to the measured and sometimes
referred to as validity
Accuracy
A systematic or nonrandom difference between the true value of a property and individual measurements of that property of the presence of a systemic error
Bias
Refers to the different between measured value and the true value of the variable
being measured
Error
Refers to the difference between the highest and the lowest values of the width of
distribution values and is measure of the dispersion of the data distribution
Range
The range of variation or dispersion of a set of values surrounding the mean, or the spread or distribution of data set
Standard Deviation
Is the square of the standard deviation in Poisson statistics and use to determine
whether the separate means of several different groups differ significantly
Variance
normal distribution and creates bell-shaped curved
Gaussian Distribution
Gaussian Distribution is named after ?
Carl Friedrich Gauss
(German Mathematician)
is a discrete probability distribution that is used to determine whether events occur randomly or not.
Poisson Distribution