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True or false a hard test is an example of a positively skewed distribution?
Yes
When is data negatively or positively skewed?
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
The following frequency distribution analyzes the scores on a math test. Find the class midpoint of scores interval 40 and ndash59.?
49.0
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
What is a skewed right?
A distribution or set of observations is said to be skewed right or positively skewed if it has a longer "tail" of numbers on the right. The mass of the distribution is more towards the left of the figure rather than the middle.
What is a negative frequency distribution?
If most the population has many high scores, the distribution is negatively skewed. If most have many low scores, it is positively skewed
When the mean of a distribution of scores of measures is higher than the median the distribution would be?
The distribution is skewed to the right.
A lopsided distribution of scores in which the mean is much larger than both the mode and median is said to be?
skewed.
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.
True or false a hard test is an example of a positively skewed distribution?
Yes
When is data negatively or positively skewed?
i) Since Mean<Median the distribution is negatively skewed ii) Since Mean>Median the distribution is positively skewed iii) Median>Mode the distribution is positively skewed iv) Median<Mode the distribution is negatively skewed
When a population distribution is right skewed is the sampling distribution normal?
No, as you said it is right skewed.
How many tails in skewed distribution?
A skewed distribution typically has one tail that is longer or fatter than the other. In a right-skewed distribution, the tail on the right side is longer, while in a left-skewed distribution, the left tail is longer. Therefore, a skewed distribution has one dominant tail, but it can be characterized by its direction (right or left).
What term is used to describe the shape of a distribution in which the scores pile up on the left-hand side of the graph and taper of to the right?
The term used to describe this shape of a distribution is "negatively skewed" or "left-skewed." In a negatively skewed distribution, most of the data points are concentrated on the higher end, with a tail extending towards the lower end. This results in a longer left tail and a peak that is shifted to the right.
Who invented skewed distribution?
Nobody invented skewed distributions! There are more distributions that are skewed than are symmetrical, and they were discovered as various distribution functions were discovered.
Is a normal distribution a skewed?
No.
Can a normal distribution curve be symmetric or left-skewed or right-skewed?
Symmetric
