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  1. Sep 12, 2021 · The standard deviation, s, describes the spread of individual values about their mean, and is given as \[s = \sqrt{\frac {\sum_{i = 1}^{n} (X_i - \overline{X})^{2}} {n - 1}} \label{4.1}\] where \(X_i\) is one of the n individual values in the data set, and \(\overline{X}\) is the data set's mean value.

  2. Sep 12, 2021 · (a) What are the mean and the standard deviation for the number of 13 C atoms in a molecule of cholesterol (C 27 H 44 O)? (b) What is the probability that a molecule of cholesterol has no atoms of 13 C?

  3. The standard deviation, \(\sigma\), describes the spread of a data set’s individual values about its mean, and is given as \[ \sigma=\sqrt{\frac{\sum_{i}^{ }(X_i-\overline{X})^2}{n-1}} \tag{4.1}\] where X i is one of n individual values in the data set, and X is the data set’s mean (average) value.

  4. Jun 4, 2020 · Standard deviation: The standard deviation (denoted σ) also provides a measure of the spread of repeated measurements either side of the mean. An advantage of the standard deviation over the variance is that its units are the same as those of the measurement.

  5. Brief summary: the lecture explains calculation of mean (Vm) and standard deviation (s). Illustrates again the 68% probability of s. Explains how the standard uncertainty of repeatability u (V, REP) can be estimated as standard deviation of parallel measurement results.

  6. Standard deviation (σ) provides a tool to determine if measurements are statistically equivalent and differ by only random error present in the data. If only random error is present, the measurements should adopt a Gaussian distribution around the true value (μ).

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  8. Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of data values. It helps in understanding the spread of data points around the mean, providing insights into measurement uncertainty, accuracy, and precision in analytical chemistry.

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