0
What else can I help you with?
When a curve is pulled upward by extreme high scores is it skewed positive?
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.
Which shape is a closed curve shaped like an egg?
An ellipse.
What is a protractor in geometry?
A protractor is any of several devices used to either define an angle or curve, or to draw an angle, curve, or shape.
What is a flat face and a curve face of a shape?
You like mens willy
Which best describes the shape of this distribution?
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.
How the values of mean and median relate to shape?
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.
What is the shape of a frequency distribution with an arithmetic mean of 800 pounds median of 758 pounds and a mode of 750 pounds?
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)
How is the choice made between mean and median to describe the typical value related to the shape of the data distribution?
Either can be used for symmetrical distributions. For skewed data, the median may be more a appropriate measure of the central tendency - the "average".
What shape describes a poisson distribution?
A skewed bell shape.
The shape of the F distribution is?
skewed right.
The histogram of a sample should have a distribution shape that is skewed. Is this true or false?
False. It can be skewed to the left or right or be symmetrical.
What shape is a Cooling curve graph?
A Cooling curve graph changes shape.
When describing distribution what three things should be mention?
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 is shape of indifference curve?
what will be the shape of indifference curve if one of the two goods is a free commodity
A distribution with a shape that is symmetrical around the mean with a bell shape is described as?
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.
The Pearson's coefficient of skewness is a measure of distribution's symmetry?
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
What is a word for a skewed square?
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.
