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What is the shape of a normal distribution?
It is a symmetrical, "bell-shaped" curve. The tails are infinitely long.
What kind of graph is a bell shaped curve?
The bell curve graph is another name for a normal (Gaussian) distribution graph. A Gaussian function is a certain kind of function whose graph results in a bell-shaped curve.
What do you call the bell shaped curve that represents a symmetrical distribution of scores?
You call it a bell shaped curved. It may or may not be Gaussian (Normal).
Is normal distribution symmetrical?
Yes. By definition. A normal distribution has a bell-shaped density curve described by its mean and standard deviation. The density curve is symmetrical(i.e., an exact reflection of form on opposite sides of a dividing line), and centered about (divided by) its mean, with its spread (width) determined by its standard deviation. Additionally, the mean, median, and mode of the distribution are equal and located at the peak (i.e., height of the curve).
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.
Can a normal distribution curve be symmetric or left-skewed or right-skewed?
Symmetric
If a probability distribution curve is bell-shaped then this is a normal distribution?
True * * * * * No. The Student's t-distribution, for example, is also bell shaped.
Why if a probability distribution curve is bell shaped why is this a normal distribution?
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
Is considerably skewed distribution the same as bimodal distribution?
No. A distribution may be non-skewed and bimodal or skewed and bimodal. Bimodal means that the distribution has two modes, or two local maxima on the curve. Visually, one can see two peaks on the distribution curve. Mixture problems (combination of two random variables with different modes) can produce bimodal curves. See: http://en.wikipedia.org/wiki/Bimodal_distribution A distribution is skewed when the mean and median are different values. A distribution is negatively skewed when the mean is less than the median and positively skewed if the mean is greater than the median. See: http://en.wikipedia.org/wiki/Skewness
The distribution of phenotypes for a typical polygenic trait can often be expressed as?
a bell-shaped curve known as a normal distribution. This distribution shows the range of phenotypes in a population, with most individuals clustering around the average phenotype and fewer individuals at the extremes of the distribution.
What does positive skewness signify in normal distribution?
A normal distribution is not skewed. Skewness is a measure of how the distribution has been pulled away from the normal.A feature of a distribution is the extent to which it is symmetric.A perfectly normal curve is symmetric - both sides of the distribution would exactly correspond if the figure was folded across its median point.It is said to be skewed if the distribution is lop-sided.The word, skew, comes from derivations associated with avoiding, running away, turning away from the norm.So skewed to the right, or positively skewed, can be thought of as grabbing the positive end of the bell curve and dragging it to the right, or positive, direction to give it a long tail in the positive direction, with most of the data still concentrated on the left.Then skewed to the left, or negatively skewed, can be thought of as grabbing the negative end of the bell curve and dragging it to the left, or negative, direction to give it a long tail in the negative direction, with most of the data still bunched together on the right.Warning: A number of textbooks are not correct in their use of the term 'skew' in relation to skewed distributions, especially when describing 'skewed to the right' or 'skewed to the left'.
In Statistics a bell shaped curve is said to be?
a Gaussian or 'normal' distribution
What kind of distribution is the t distribution?
It is similar to a bell curve, symmetric and bell shaped, but fatter at the tails.
In a perfectly symmetrical bell-shaped normal distribution?
Normal distribution is a perfectly symmetrical bell-shaped normal distribution. The bell curve is used to find the median, mean and mode of a function.
What is the shape of a normal distribution?
It is a symmetrical, "bell-shaped" curve. The tails are infinitely long.
Is the value of mean equals 35.4 and value of median equals 35 the shape of the curve skewed is?
the shape of the curve skewed is "right"
Another name for the Normal Distribution?
Gaussian distribution. Some people refer to the normal distribution as a "bell shaped" curve, but this should be avoided, as there are other bell shaped symmetrical curves which are not normal distributions.
