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Why is it that short run aggregate supply curve is normal?
Because the supply curve basically is for the short run, and not permanent for the long run. That's why it's considered normal.
Why is the ordinary demand curve flatter than a compensated demand curve if the good is a normal good but the reverse is the case if the good is inferior?
because the ordinary demand curve ignores the income effect of price changes.also since the compensated demand curve is less inelastic than an ordinary demand curve.
What happens to supply curve when more producers enter the market?
In normal circumstances, ceteris paribus, the supply curve shifts left as competition drives down prices.
Is income held constant along the demand curve?
Yes, an increase or decrease in income will cause a shift in the demand curve right or left depending on if the good is inferior, normal, or superior
Because of the law of demand the demand curve always slopes?
given that the demand curve is for a normal good then this is the case as prices increase people will be willing to consume less of the good. If the good is a giffen good then this will not be the case an in fact the demand curve may either remain straight or will curve upwards as prices increase.
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.
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.
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
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 do directional selection in disruptive selection have in common?
Aside from decreasing genetic variation they both are not normal Gaussian curves. Disruptive selection has two normal curves at either end of the distribution. Directed selection has an abnormal curve with most of the data distributed is a skewed manner from the mean of distribution.
