A rhombus?
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.
In a negatively skewed distribution, the mean is typically less than the median, and the median is less than the mode. This results in a tail that extends longer to the left. Therefore, any statement claiming that the mean is greater than the median or that the mode is less than the median would be false. Thus, one must be careful to identify which statements accurately reflect the characteristics of negatively skewed distributions.
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
Don't forget the word "square" before "inches". Otherwise the question is wrong. The area of 1 square inch is 0.0007716049 square yards. The area of 1 square yard is 1296 square inches.
Rhombus
The retaining wall is skewed perfectly.
The word is correctly spelled "skewed" meaning distorted or out of line, as with numerical values or sequences. The similar word is askew.
A skewed square, often referred to in the context of geometry or data visualization, typically describes a square that has been distorted or transformed such that its angles and side lengths are not uniform. This can create a shape that resembles a square but does not maintain the properties of a true square, such as equal sides and right angles. In data visualization, a skewed square might represent a non-linear relationship or distribution of data points.
They are both quadrilaterals. The both have interior angle of 360 degrees. A rhombus is to a skewed square as a parallelogram is to a skewed rectangle.
as a paralellogram is a skewed square, it is a quadrilateral. it has four sides
It fits the description of a rhombus which is a 4 equal sided quadrilateral that is skewed over
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
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
A Rhombus is a square tilted to form a diamond shape
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)
Due to systematic error, my results are skewed.