Lesson 2: Errors and Statistics Flashcards

1
Q

Process of determining the extent, size, or
dimensions of a particular quantity in
comparison to a given standard.

A

Measurement

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2
Q

Consists of several physical operations
which renders a numerical value.

A

Measurement

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3
Q

Maybe direct or indirect

A

Measurement

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4
Q

It entails the entire process of
obtaining a desired quantity, including
preparations (instrument calibration and
setup), pointing, matching, and comparing.

A

Measurement

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5
Q

is a single, unadjusted
determination of a linear or angular value.

A

Observation

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6
Q

Measurements are numerical values for
random variables which are subject to
statistical fluctuations.

A

Variability in Repeated
Measurements

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7
Q

An inherent quality of physical properties.

A

Variability in Repeated
Measurements

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8
Q

Statistical variations due to observational
errors.

A

Variability in Repeated
Measurements

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9
Q

difference between the measured or
calculated value of a quantity and given or
established (“true”) value of that quantity.

A

Error

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10
Q

the negative of error.

A

Correction

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11
Q

Sources of Errors

A
  • Natural Errors
  • Instrumental Errors
  • Personal Errors
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12
Q

caused by variations in
the phenomena of nature, such as
changes in magnetic declination,
temperature, etc.

A

Natural Errors

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13
Q

due to imperfections in the instruments used.

A

Instrumental Errors

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14
Q

arise principally from
the limitations of the senses of sight,
touch, and hearing of the observer.

A

Personal Errors

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15
Q

Types of Errors

A
  1. Mistakes or Blunders
  2. Systematic or Cumulative Errors
  3. Random or Accidental Errors
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16
Q

Mistakes or Blunders

A
  • Actually not errors because they are
    usually so gross in magnitude compared to
    to the other types of errors.
  • One of the most common reasons is
    simple carelessness on the part of the
    observer.
  • An observation with a mistake is not
    useful unless the mistake is removed.
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17
Q

Common Mistakes or Blunders

A
  1. Reading the wrong graduation on the tape.
  2. Omitting a whole length of tape.
  3. Transposition of figures.
  4. Misplacing a decimal point.
  5. Incorrect recording of field notes.
  6. Sighting the wrong target.
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18
Q

So-called because they occur according to
some deterministic system, which, when
known, can be expressed by some
functional relationship.

A

Systematic or Cumulative Errors

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19
Q

Caused by physical and natural conditions
that vary in accordance with known
mathematical or physical laws.

A

Systematic or Cumulative Errors

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20
Q

Types Systematic Error

A
  • Constant Error
  • Counteracting
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21
Q

if its magnitude and sign
remains the same throughout the
measuring process or field conditions are
unchanged.

A

Constant Error

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22
Q

if its sign changes while its
magnitude remains the same.

– due to the personal bias of the observer.

A

Counteracting

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23
Q

Common Systematic or
Cumulative Errors

A
  1. Equipment out of calibration.
  2. Personal biases of the observer.
  3. Use of incorrect units (feet instead of meters)
24
Q

Produced by irregular causes that are
beyond the control of the observer.

A

Random or Accidental Errors

25
This variation results from observational errors which have no known functional relationship based upon a deterministic system.
Random or Accidental Errors
26
Must use probability models.
Random or Accidental Errors
27
General Uses of Statistics
* Statistics aid in decision making. * Statistics summarizes data for public use.
28
Statistics aid in decision making.
– Provides comparison. – Explains action that has taken place. – Justifies a claim or assertion. – Predicts future outcome. – Estimates unknown quantities.
29
degree of refinement and measure of the uniformity of the result.
Precision
30
- degree of conformity with a standard or accepted value. - denotes how close a given measurement is to the absolute value of the quantity.
Accuracy
31
The Concept of Probability
- Probability - Random Variable - Random Event
32
is the likelihood associated with a random event.
Probability
33
a variable that takes on any of several possible values.
Random Variable
34
is one whose relative frequency of occurrence approaches a stable limit as the number of observations is increased to infinity.
Random Event
35
represents the probability density of a single random variable.
Histogram
36
represents the probability density of two random variables.
Stereogram
37
Measures of Central Tendency
1. Median 2. Mean 3. Mode 4. Midrange
38
positional middle of the arrayed data.
Sample median
39
Characteristics of sample median
- Affected by the position of each item but not by the value of each item. - A stable measure of central tendency.
40
sum of all the values of the observations divided by the number of observations. (Most Probable Value)
Sample mean
41
Characteristics of sample mean
- Most familiar measure of central tendency used. - Affected by the value of every observation. - In particular, it is strongly influenced by extreme values. - Since it is a calculated number, it may not be an actual number in the data set.
42
value that occurs most frequently in the sample
Sample Mode
43
Characteristics of sample mode
- Not always exist. If it does, it may not be unique (2 or more sample modes). - Not affected by extreme values. - Easiest to compute.
44
- value of observation that is midway along the range. - arithmetic mean of the largest and smallest observations.
Midrange
45
Sample Statistics for Dispersion
1. Range 2. Mean Deviation 3. Variance 4. Standard Deviation
46
The total spread of the sample.
Range
47
arithmetic mean of the absolute values of the deviation from any measure of position.
Mean Deviation
48
Parameter of dispersion or spread.
Variance
49
Positive square root of the variance
Standard Deviation
50
Measures of Quality
Weight Relative Error or Precision Ratio of Misclosure
51
the quantity that is inversely proportional to variance.
Weight
52
ratio of the error to the measured or estimated quantity.
Relative Error or Precision
53
ratio between the total error and the total length of the survey.
Ratio of Misclosure
54
Sometimes called the deviation.
Residual
55
Defined as the difference between any measured quantity and its most probable value (MPV).
Residual