Due to systematic error, my results are skewed.
Skews are used on a graph. If the points or lines go to one side then they are skewed to the right or left. For example, If your lines or plots start low and go up right to the right, then it is skewed to the right (same as the left). Now, if the plots are everywhere then there is no skew.
It is a descriptive statistical measure used to measure the shape of the curve drawn from the frequency distribution or to measure the direction of variation. It is a measure of how far positively skewed (below the mean) or negatively skewed (above the mean) the majority (that's where the mode comes in) of the data lies. Useful when conducting a study using histograms. (mean - mode) / standard deviation. or [3(Mean-Median)]/Standard deviation
The only concrete noun in your sentence is sentence. Note: The noun 'sentence' is a concrete noun only for a written or spoken sentence; the noun 'sentence' as a word for a penalty imposed for a crime conviction is an abstract noun.
The first noun in a sentence may be the subject of the sentence, but NOT ALWAYS, for example:John sat on the bench. (the noun 'John' is the subject of the sentence)He sat on the bench. (the pronoun 'he' is the subject of the sentence, the first noun in the sentence is 'bench', the object of the preposition 'on')
The retaining wall is skewed perfectly.
Skewed is an irregular adjective because it ends in -ed. An example of a sentence would be, "The results of his test were skewed due to the teacher's mistakes." Or you could say something like, "His conception of religion was skewed."
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
As the mean is greater than the median it will be positively skewed (skewed to the right), and if the median is larger than the mean it will be negatively skewed (skewed to the left)
When a set of votes has been skewed it means that either the mean is higher than the median or lower. If it is higher the vote is said to be skewed to the right and when lower it is skewed to the left.
Nobody invented skewed distributions! There are more distributions that are skewed than are symmetrical, and they were discovered as various distribution functions were discovered.
No, as you said it is right skewed.
how can information from sources be skewed to validate an argument
In the majority of Empirical cases the mean will not be equal to the median, so the event is hardly unusual. If the mean is greater, then the distribution is poitivelt skewed (skewed to the right).
When the data are skewed to the right the measure of skewness will be positive.