Any variation is very sensitive to extreme values!
false
Median cannot be used for qualitative data (a mode can).The sampling distribution of the median is complicated (the mean is well studied).Median can usually be used for data that can be ordered without there being a ratio scale. For example, "small-medium-large", or "very negative-negative-neutral-positive-very positive". A mean cannot be calculated without arbitrarily assigning a numerical value to the terms.A median is not dependent on all the values which means that it is not distorted by outliers (extreme values).It is easy to find the median value from cumulative frequency charts.
Standard index form is a convenient way to represent very large or very small numbers. It is often used in physics where these extreme values are used regularly. E.g. 6.63 x 10-34 is a common value used. 5 x 102 is 500 which is equivalent to 5 x 10 x 10 5 x 10-2 is 0.05 which is equivalent to 5 / 10 / 10
W The test statistic is is the critical region or it exceeds the critical level. What this means is that there is a very low probability (less than the critical level) that the test statistics could have attained a value as extreme (or more extreme) if the null hypothesis were true. In simpler terms, if the null hypothesis were true you are very, very unlikely to get such an extreme value for the test statistic. And although it is possible that this happened purely by chance, it is more likely that the null hypothesis was wrong and so you reject it.
It´s a system that forces to zero values smaller than a given value. This is done in order to avoid measure or report very small values seen as noises.
The reaction to sodium chloride (this is the sensitivity) is very different in a population.
yes they are very sensitive
He has sensitive teeth so he uses special toothpaste.Her feet were very sensitive.Sensitive people are usually very quiet.Be sensitive because he is upset.This file contains sensitive information.I am sorry but I cannot give that kind of sensitive information to you.
Extreme high or low values in a data set, known as outliers, can significantly skew the mean. For instance, a few very high values can inflate the mean, making it higher than the central tendency of the majority of the data. Conversely, extreme low values can drag the mean down, misrepresenting the typical value of the dataset. This sensitivity makes the mean less reliable as a measure of central tendency when outliers are present.
yes very very sensitive because that's where the veins are.
Extreme values are the maximum or minimum values of a function or a dataset. They represent the highest or lowest points in the data set and are useful for understanding the overall characteristics or outliers in the data.
Penguins are very sensitive to heat and what they digest
You would use the median if the data were very skewed, with extreme values.
Yes, narcissists can be very charming and sweet, especially at the beginning of a relationship or when they need something from you (i.e. narcissistic supply). They will quickly turn to the other extreme, however, if their initial attempts to manipulate with charm do not work.
Because on very, very rare occasions the variation may be helpful
Very!
Very, very sensitive.