Statistics Flashcards

1
Q

Define accuracy

A

How close a number is to what it should be, by comparing a number to known/accepted value

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2
Q

Define precision

A

Number of decimal places of a measured number (reproducibility)

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3
Q

Describe accuracy and precision (bull’s eyes)

A

Good accuracy - Closer to the bull’s eye

Good precision - Closer each point is to eachother

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4
Q

Calculating absolute error

A

Difference between measured and true value

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5
Q

Calculating relative error

A

Absolute error divided by true value

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6
Q

What method is used to measure precision?

A

Standard deviation

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7
Q

What is s^2?

A

Variance/RSD (%)

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8
Q

What is Gaussian rounding?

A

Avoiding biased results by rounding to the nearest even number

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9
Q

What is standard deviation?

A

Measure of variation

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10
Q

What are the 3 types of errors?

A

Gross, Systematic, Random

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11
Q

Describe gross errors

A

Occurs sometimes, large and cause results to be high/low (lead to outliers)

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12
Q

Describe systematic errors

A

Definite values, lead to bias, affects all data

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13
Q

Describe random errors

A

Uncontrollable variables, undetectable uncertainties

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14
Q

What is associated with systematic error?

A

Poor accuracy

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15
Q

What is associated with large random error?

A

Poor precision

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16
Q

What is random error a representation of?

A

The distribution around the mean (outer areas of mean in distribution curve)

17
Q

Describe Dixon’s Q-test

A

Used for gross errors by comparing difference between samples and nearest measurement

18
Q

What is the formula for the Q-test?

A

(Suspect value - Nearest value) / (Largest value - Smallest value)

19
Q

Define confidence interval (CI)

A

The probability that interval estimate includes the population mean (u)

20
Q

What is the equation for confidence interval for the mean?

A
u = x +/- t (s/ 2/n)
u = Population mean
x = Sample mean
s = Standard deviation
t = Student's t-value
n = Number of measurement
21
Q

What is SEM?

A

Standard error of the mean - (s/ 2/n)

22
Q

What is the best confidence percentage to use?

A

95% unless told

23
Q

How to calculate t-value?

A

Find degree of freedom by number of samples - 1