Which variability measure (mean, median or mode) is most useful for comparing variability in two different situations, adjusting for the fact that the situations have very different average sizes? Jus...
Which variability measure (mean, median or mode) is most useful for comparing variability in two different situations, adjusting for the fact that the situations have very different average sizes? Justify your choice.
Homework Answers
Mean , median or mode are not the measure if variability, they are the measure of central tendency. In general mean and standard deviation are the best measure of the central tendency and variability respectively if the distribution is symmetrical. For skewed distribution median and IQR are better measure of central tendency and variability.
For the given scenerio mean and standard deviation appears to be best.
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Which variability measure (mean, median or mode) is most useful for comparing variability in two different situations, adjusting for the fact that the situations have very different average sizes? Jus...
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23. Consider these three sequences contained within single beta strands. Which is most likely to have ionic interactions between side chains at physiological pH? Explain your choice. Sequence 1: Ala-Glu- Leu- Arg Sequence 2: Ala - Glu - Arg-Leu Sequence 3: Leu - Ala - Glu- Arg 24. The equilibrium between the native state (N) and the unfolded state (U) of a protein can be represented by the chemical equation N U, with a AG value that represents the equilibrium....
program in python
Randomness can be used to improve the performance of deterministic algorithms which need to make many choices. Rather than repeatedly making fixed, hard-coded choices, a pseudorandom number generator can be used to make dynamic, unbiased choices. If the benefits of "good" choices outweigh the costs of "bad" choices, a random selection of good and bad choices can improve the performance of an algorithm Let us explore this with the QUICKSELECT algorithm. Discovered by the influential computer science...
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