=> Manual REST 2005 - Gene
... than the other, or was the perceived increase due only to chance? Prior approaches such as relative quantitation with two standard curves [Corbett] may be insufficient to answer this question confidently for lower magnitudes of expression. While average expression values can provide an indication of ...
... than the other, or was the perceived increase due only to chance? Prior approaches such as relative quantitation with two standard curves [Corbett] may be insufficient to answer this question confidently for lower magnitudes of expression. While average expression values can provide an indication of ...
here - BCIT Commons
... The only difficulty here is that the constant t/2, appearing on the right-hand side not only depends on , but also on the value of n, through . As a result, we cannot solve for n as cleanly as was possible in the large sample case where the probability factor, z/2, did not depend on n. The reco ...
... The only difficulty here is that the constant t/2, appearing on the right-hand side not only depends on , but also on the value of n, through . As a result, we cannot solve for n as cleanly as was possible in the large sample case where the probability factor, z/2, did not depend on n. The reco ...
3-3 Measures of Variation / Adobe Acrobat Document
... s is usually positive and NEVER negative s is 0 only when all data values are the same number the larger value for (s) the greater amount the data varies s can increase dramatically with the inclusion of outliers the units (minutes, feet, etc...) are the same as the units of original values ...
... s is usually positive and NEVER negative s is 0 only when all data values are the same number the larger value for (s) the greater amount the data varies s can increase dramatically with the inclusion of outliers the units (minutes, feet, etc...) are the same as the units of original values ...
Pointers for Section 3.4
... will have negative z-‐scores. We use z-‐scores to compare two data values to see which is more extreme. To find a z-‐score, subtract the mean from the value. Then divide that answer by the s ...
... will have negative z-‐scores. We use z-‐scores to compare two data values to see which is more extreme. To find a z-‐score, subtract the mean from the value. Then divide that answer by the s ...
4.3 Measures of Variation
... Universally accepted as the best measure of statistical dispersion/distribution. Standard deviation is developed because there is a problem with variances. Recall that the deviations were squared. That means that the units were also squared. To get the units back the same as the original data values ...
... Universally accepted as the best measure of statistical dispersion/distribution. Standard deviation is developed because there is a problem with variances. Recall that the deviations were squared. That means that the units were also squared. To get the units back the same as the original data values ...
