Lecture 3_Statistics of Repeated Measurements Flashcards

1
Q

What is mean? Why is it calculated?

A

The mean is the average or the most common value in a collection of numbers. It is a measure of central tendency of a probability distribution along median and mode. It is also referred to as an expected value.

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2
Q

What is standard deviation?

A

It measures the spread or dispersion of a dataset around its mean, with a higher SD indicating a wider spread and a lower SD indicating data points clustered closer to the mean.

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3
Q

What is variance?

A

The square of standard deviation. Variance is a measurement of how far each number in a data set is from the mean (average)

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4
Q

Examples of relative errors in statistics?

A

Coefficient of Variation
Relative Standard Variation

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5
Q

What is the purpose of these relative errors? Why are they being calculated?

A

Relative errors are often used to compare the precision of results which have different units or magnitudes.

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6
Q

What does standard deviation do?

A

The sd gives a measure of the spread of a set of results, it does not indicate the shape of the distribution.

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7
Q

It shows that the distribution of the measurements is roughly symmetrical about the mean, with the measurements clustered towards the centre

A

Histogram

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8
Q

Define what is a sample.

A

Sample a set of measurements from the theoretically infinite number

The actual material being studied.

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9
Q

Define what is a population.

A

Population the set of all possible measurements.

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10
Q

F(z) is called the _______.

A

standard normal cumulative distribution function

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11
Q

What is a specimen in chemistry?

A

A test portion from a population which varies with time.

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12
Q

In the absence of systematic errors, x̄ provides us with ____________, 𝝁, we are trying to measure.

A

an estimate of the true value

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13
Q

Why do we repeat measurements?

A

Repeating measurements implies that we have more confidence in the mean of several values than in a single value.
The more measurements we make, the more reliable our estimate of 𝝁, the true value, will be.

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14
Q

The distribution of all possible sample means (in this case, an infinite number) is called the ________.

A

sampling distribution of the mean

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15
Q

Define what is a confidence interval.

A

A range which we may reasonably assume includes the true value.

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16
Q

Define what is confidence limits.

A

are extreme values of the interval.