Unit 4.1 - Statistics Flashcards

1
Q

Accuracy

A

Degree of conformity of a measure to a standard value.

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2
Q

Bar Chart

A

Categorical data graph

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3
Q

Bayes’ Theorem

A

The probability of an event occurring based upon other event probabilities

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4
Q

Data

A

Numbers or information describing some characteristic.

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5
Q

Data Variation

A

Measure of data scatter

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6
Q

Deviation

A

Amount of difference between a value and the mean.

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7
Q

Experiment

A

An activity with observable results.

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8
Q

Event

A

A subset of a sample space.

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9
Q

Frequency Distribution

A

Listing of data values along with their corresponding frequencies.

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10
Q

Frequency Polygons

A

Frequency distribution graph

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11
Q

Histogram

A

Frequency distribution graph

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12
Q

Mean

A

Arithmetic average

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13
Q

Mean Deviation

A

Measure of variation equal to the sum of the deviations of each value from the mean.

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14
Q

Median

A

Middle value of a set of values arranged in order of magnitude.

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15
Q

Mode

A

The value that occurs most frequently.

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16
Q

Normal Distribution

A

Bell-shaped probability distribution.

17
Q

Outcome

A

The result of an experiment.

18
Q

Pie Chart

A

Categorical data graph %

19
Q

Probability

A

The calculated likelihood that a given event will occur.

20
Q

Process Control

A

To monitor and control a process so that the quality of the output/product improves.

21
Q

Qualitative Data

A

Values that possess names or labels

22
Q

Quantitative Data

A

that represent a measurable quantity

23
Q

Quality Assurance

A

The use of quality control techniques associated with a process.

24
Q

Reliability

A

The probability of satisfactory operation of the product in a given environment over a specified time interval.

25
Q

Sample Space

A

A set of all possible outcomes or events in an experiment that cannot be further broken down.

26
Q

Standard Deviation

A

The square root of the variance.

27
Q

Statistics

A

The collection, evaluation, and interpretation of data

28
Q

Statistical Process Control

A

SPC is a method of monitoring, controlling, and ideally improving a process through statistical analysis. Its four basic steps include measuring the process, eliminating variances in the process to make it consistent, monitoring the process, and improving the process to its best target value.

29
Q

Tolerance

A

The difference between the maximum and minimum dimensions allowed within the design of a product.

30
Q

Variance

A

The difference between samples.