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What else can I help you with?
Is a normal distribution a skewed?
No.
What is non normal distribution?
A distribution that is NOT normal. Most of the time, it refers to skewed distributions.
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
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.
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.
When a population distribution is right skewed is the sampling distribution normal?
No, as you said it is right skewed.
Is a bell shaped curve an example of a skewed distribution?
No.
Can a normal distribution curve be symmetric or left-skewed or right-skewed?
Symmetric
What is non normal distribution?
A distribution that is NOT normal. Most of the time, it refers to skewed distributions.
What is skew?
Skewness is deviation from normality. The larger a set of data is skewed, the larger it differs from a bell-shaped normal distribution.
Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
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
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.
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.
Why does a binomial distribution become more skewed as n increases?
As n increases, the distribution becomes more normal per the central limit theorem.
