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A normal curve, also known as a bell curve, is symmetric around its mean, indicating that data points are evenly distributed on either side, with most values clustering around the center. In contrast, a skewed curve is asymmetrical, meaning that it has a tail extending more to one side than the other; in a positively skewed curve, the tail is on the right, while in a negatively skewed curve, it is on the left. This skewness affects the mean, median, and mode of the data distribution, leading to different interpretations of the data's central tendency.

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2mo ago

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Can a normal distribution curve be symmetric or left-skewed or right-skewed?

Symmetric


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"


Is a bell shaped curve an example of a skewed distribution?

No.


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'.


Is a normal distribution a skewed?

No.


When a population distribution is right skewed is the sampling distribution normal?

No, as you said it is right skewed.


Is a normal distribution extremely skewed or oddly shaped?

It is not at all skewed. As to oddly shaped, it depends on your expectations.


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.


What is non normal distribution?

A distribution that is NOT normal. Most of the time, it refers to skewed distributions.


Is the standard normal curve non symmetrical?

The standard normal curve is symmetrical.


Normal curve is the meaning of standard normal distribution?

No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.


What are the properties of a standard normal curve?

It is a normal curve with mean = 0 and variance = 1.