Statistical Principles Flashcards

1
Q

Reflects the ability of a data-gathering instrument or tool, such as a survey or a rater’s observation or physical measurement, to provide results that are consistent.

A

Reliability

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2
Q

The ability of an instrument to measure what it is intended to measure. It answers to questions: What does the instrument measure and How well does the instrument measure it?

A

Validity

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3
Q

Often used when the population to be analyzed is very large or when data cannot be obtained from the entire population.

A

Sampling

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4
Q

It can occur in a controlled study when participants are not randomly assigned to control and experimental groups. It can also occur when researchers choose to enroll only certain types of participants.

A

Selection

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5
Q

This is the inverse of selection bias. The researchers invite a representative sample to join a study, but the group that accepts or responds is not representative.

A

Response

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6
Q

Participants in a controlled study behave differently because they are being studied.

A

Performance

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7
Q

Raters are measuring incorrectly, either unintentionally or intentionally.

A

Measurement

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8
Q

Identifies the degree of difference between planned and actual performance. Usually applied to analysis against objective baselines, such as schedules and budgets.

A

Variance analysis

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9
Q

Compares the relative size of two variables and yields a percentage.

A

Ratio analysis

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10
Q

Examines data from different points in time to determine if a variance is an isolated event or if it is a part of a longer trend.

A

Trend analysis

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11
Q

Refers to a statistical method used to determine whether a relationship exists between variables and the strength of the relationship.

A

Regression analysis

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12
Q

Starts with a result and then works backwards.

A

Root-cause analysis

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13
Q

Used to test the possible effects of altering the details of a situation to see how the outcomes will vary under different conditions.

A

Scenario/what-if analysis

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14
Q

Often used to support these types of analysis and to visualize results.

A

Graphic data analysis

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15
Q

Graphically depicts as portions or slices of a circle the constituents that comprise 100% of a data group.

A

Pie Chart

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16
Q

Graphically depicts the sorting of data into groups arranged in the shape of a statistical distribution, showing a central tendency and dispersion around that tendency.

A

Histogram

17
Q

Plots data points on two axes. The horizontal axis usually represents time, while the vertical axis represents volume.

A

Trend Diagram

18
Q

Applies the Pareto principle (that 80% of effects come from 20% of causes) in the form of a histogram.

A

Pareto Chart

19
Q

Plots data points against two variables that form the chart’s x and y axes. Each axis is scaled. The pattern formed by the plotted data describes the correlation between the two variables.

A

Scatter Diagram