Chapter 4: Evaluating Analytical Data
... Determinate errors can be difficult to detect. Without knowing the expected value for an analysis, the usual situation in any analysis that matters, there is nothing to which we can compare our experimental result. Nevertheless, there are strategies we can use to detect determinate errors. The magni ...
... Determinate errors can be difficult to detect. Without knowing the expected value for an analysis, the usual situation in any analysis that matters, there is nothing to which we can compare our experimental result. Nevertheless, there are strategies we can use to detect determinate errors. The magni ...
Chapter-4:Probability Distributions and Their Applications
... distribution is within 1 standard deviation of the mean, 95.44% within 2 standard deviations of the mean, and 99.72% within 3 standard deviations of the mean. These are called the 1, 2 and 3 sigma bounds of the normal distribution. The fact that only 0.28% of the area of the normal distribution lies ...
... distribution is within 1 standard deviation of the mean, 95.44% within 2 standard deviations of the mean, and 99.72% within 3 standard deviations of the mean. These are called the 1, 2 and 3 sigma bounds of the normal distribution. The fact that only 0.28% of the area of the normal distribution lies ...
CHAPTER 9
... conclude that the mean amount spent for lunch is different from $6.50. The p-value is 0.1245. If the population mean is indeed $6.50, the probability of obtaining a test statistic that is more than 1.6344 standard error units away from 0 in either direction is 0.4069. That the distribution of the am ...
... conclude that the mean amount spent for lunch is different from $6.50. The p-value is 0.1245. If the population mean is indeed $6.50, the probability of obtaining a test statistic that is more than 1.6344 standard error units away from 0 in either direction is 0.4069. That the distribution of the am ...
printable chapter 3 slides
... The mean and median values do not have to be values that are part of the data set. Example (four observations): 2 , 3 , 4 , 11 Mean = (2+3+4+11)/4 = 5 Median = 3.5 ...
... The mean and median values do not have to be values that are part of the data set. Example (four observations): 2 , 3 , 4 , 11 Mean = (2+3+4+11)/4 = 5 Median = 3.5 ...
Session 1: Statistical Variation and the Normal Curve
... measuring acidity levels (pH values) in samples from different lakes or streams, or from one site sampled at different times, or indeed if they measure birds’ eggs, they will find very much the same kind of variation as did the engineer, psychologist or nurse referred to above. This variation is the ...
... measuring acidity levels (pH values) in samples from different lakes or streams, or from one site sampled at different times, or indeed if they measure birds’ eggs, they will find very much the same kind of variation as did the engineer, psychologist or nurse referred to above. This variation is the ...
Measures of Multivariate Skewness and Kurtosis
... least. four or five hundred observations might be required for securing the stable estimation of kurtosis. In her extensive Honte Carlo study. Harlow reported that a sample size of four hundred is quite reasonable to get stable kurtosis measures ...
... least. four or five hundred observations might be required for securing the stable estimation of kurtosis. In her extensive Honte Carlo study. Harlow reported that a sample size of four hundred is quite reasonable to get stable kurtosis measures ...
