the shape of the curve skewed is "right"
Yes, when a curve is pulled upward by extreme high scores, it is said to be positively skewed. In a positively skewed distribution, the tail on the right side is longer or fatter, indicating that there are a few unusually high values that affect the overall shape of the distribution. This results in the mean being greater than the median.
An ellipse.
A protractor is any of several devices used to either define an angle or curve, or to draw an angle, curve, or shape.
You like mens willy
To accurately describe the shape of the distribution, I would need more information about its characteristics, such as whether it is symmetric, skewed, or has any peaks or outliers. Common shapes include normal (bell-shaped), uniform, bimodal, or skewed left/right. If you have data or a visual representation, please share that for a more specific description.
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
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)
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
A skewed bell shape.
skewed right.
False. It can be skewed to the left or right or be symmetrical.
A Cooling curve graph changes shape.
When describing a distribution, it is important to mention its shape (symmetric, skewed, etc.), center (mean, median), and spread (range, standard deviation). These three characteristics provide a comprehensive overview of the distribution's properties.
what will be the shape of indifference curve if one of the two goods is a free commodity
The distribution described is a normal distribution. It is characterized by a symmetric bell-shaped curve where the mean, median, and mode are all equal and located at the center of the distribution.
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
A rhombus is a geometric shape that is a type of skewed square, where all four sides are of equal length but the angles are not 90 degrees.