The document discusses statistical concepts including Gaussian distributions, standard deviation, confidence intervals, t-tests, and calibration curves. It provides examples of how to calculate the mean, standard deviation, confidence intervals using t-tables, and how to perform t-tests to compare two data sets. It also describes constructing a calibration curve using the method of least squares to determine the best-fit line and using that line to find the concentration of an unknown sample.
The document discusses significant figures and types of errors in measurement, explaining how to determine the number of significant figures in calculations using addition, subtraction, multiplication, division, and logarithms. It also covers absolute and relative uncertainty, propagation of uncertainty through calculations, and the rule for determining the number of significant figures in the answer of a calculation involving measurements with uncertainty.
The document discusses statistical concepts including Gaussian distributions, standard deviation, confidence intervals, t-tests, and calibration curves. It provides examples of how to calculate the mean, standard deviation, confidence intervals using t-tables, and how to perform t-tests to compare two data sets. It also describes constructing a calibration curve using the method of least squares to determine the best-fit line and using that line to find the concentration of an unknown sample.
The document discusses significant figures and types of errors in measurement, explaining how to determine the number of significant figures in calculations using addition, subtraction, multiplication, division, and logarithms. It also covers absolute and relative uncertainty, propagation of uncertainty through calculations, and the rule for determining the number of significant figures in the answer of a calculation involving measurements with uncertainty.