distribution
to which “compartments” in the body the drug goes; some stay primarily in the bloodstream while others go to the tissues; a compound may be very potent in vitro, but in vivo, it may not work as well
Distribution in science refers to the frequency and pattern of occurrence of a certain set of data values or outcomes. It involves identifying the values that are most common in the data set, as well as the range and variability of the data. The distribution of data can be described using various statistical measures, such as measures of central tendency (mean, median, and mode) and measures of spread (range, variance, and standard deviation).
There are different types of distributions in science, including normal distribution, skewed distribution, bimodal distribution, and uniform distribution. Normal distribution, also known as the Gaussian distribution, is a bell-shaped curve that is symmetrical around the mean. Skewed distribution, on the other hand, is a distribution that is not symmetrical and has a long tail in one direction. Bimodal distribution refers to a distribution with two peaks, while uniform distribution is a distribution where all outcomes occur equally frequently.
Understanding the distribution of data is important in science because it provides insights into the characteristics of the data and can help in making decisions about the data. It can also assist in identifying outliers, which are data points that are significantly different from the majority of data points in the set. By examining the distribution of data, scientists can gain a deeper understanding of the phenomena they are studying.
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