LECTURE 2_Experimental Errors Flashcards

1
Q

It is the minimum number of digits needed to write a given value in scientific notation without loss of precision.

A

significant figures

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2
Q

It is the closeness of results to others obtained in exactly the same way.

A

Precision

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3
Q

It is the closeness of a measured value to the true or accepted value, and is expressed by the error

A

Accuracy

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4
Q

uncertainty of a measurement is the difference between the measured value and the true value

A

Absolute error (absolute uncertainty)

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5
Q

uncertainty of a measurement is the absolute error divided by the true value

A

Relative error (relative uncertainty)

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6
Q

What are the 3 types of error

A

Random error
Systematic error
Gross error

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7
Q

What is a Random or indeterminate error?

A

It causes data to be scattered more or less symmetrically around a mean value
Affect measurement precision

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8
Q

What is Systematic (or determinate error) error

A

It causes the mean of a data set to differ from the accepted value
Affect the accuracy of results

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9
Q

What is Gross error

A

They usually occur only occasionally, are often serious, and may cause a result to be either high or low. They are often the product of human errors
Gross errors lead to outliers

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10
Q

What are the two components of precision in a measurement system

A

Repeatability and reproducibility

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11
Q

How does repeatability & reproducibility differ?

A

Repeatability: Focuses on the consistency of a single measurement process. “Can I get the same result every time I do it?”

Reproducibility: Focuses on the consistency of measurement processes across different conditions. “Can anyone get the same result when they do it?”
The reproducibility of a method is normally expected to be poorer (ie large random errors) than its repeatability

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12
Q

What are the sources of systematic error?

A
  • Instrumental errors
  • Environmental errors
  • Observational errors
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13
Q

Ways to detect systematic errors.

A
  1. Analyze a known sample such as a certified reference material or standard reference materials.
  2. Analyze blank samples with no analyte being sought.
  3. Use different analytical methods to measure the same quantity
  4. Round robin experiment: Different people in several laboratories analyze identical samples by the same or different methods
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14
Q

Confidence intervals can be used to test for _____________________

A

systematic errors

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15
Q

Define mean.

A

The mean is the average of a set of numbers. It’s calculated by adding up all the values in a dataset and then dividing by the number of values.

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16
Q

What is a standard deviation?

A

The standard deviation measures the amount of variation or dispersion of a set of values.
In simpler terms, it tells you how spread out the data is around the mean.

17
Q

How to avoid Enviromental errors?

A
  • use air conditioner
  • sealing certain components in the instruments
  • use magnetic shields
18
Q

What causes environmental errors?

A

due to external condition effecting the measurement including
surrounding area condition such as change in temperature, humidity, barometer pressure, etc

19
Q

What are the most common observational errors

A

parallax error and estimation error (while reading the scale)

20
Q

It is the accumulation of small effect, require at high degree of accuracy;

A

Random Error

21
Q

How to avoid Random errors?

A

a) increasing number of reading;

b) use statistical means to obtain best approximation of true value

22
Q

Standard reference materials (SRMs)

A

These are substances sold by the National Institute of Standards and Technology (NIST) and certified to contain specified concentrations of one or more analytes.

23
Q

Blank

A

solution contains the solvent and all of the reagents in an analysis

24
Q

Whenever feasible, blanks may also contain added constituents to simulate the _________________.

A

sample matrix

25
It refers to the collection of all the constituents in the sample.
**Matrix**
26
Define **Gross Error**
The error caused due to the shear carelessness of an observer.
27
Give examples of **Gross Error**
1. **Complete instrument breakdown;** 2. **Accidentally dropped** or discarded the sample; 3. Contaminated pure reagents; 4. **Reading an instrument without setting it properly.** 5. **Taking observations in a wrong manner** without bothering about the sources of errors and the precautions. 6. **Recording wrong observations.** 7. **Using wrong values of the observations in calculations.**
28
How can you minimize **Gross errors**???
These errors can be minimized only when an **observer is careful and mentally alert.**
29
Define bias.
measures the systematic error associated with an analysis
30
Define measurement uncertainty
It is the **estimated degree of error in a measurement**. It relates to the margin of doubt that exists for the result of any measurement, as well as how significant the doubt is.