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When you use linear regression to model the data, there will typically be some amount of error between the predicted value as calculated from your model, and each data point. These differences are called "residuals". If those residuals appear to be essentially random noise (i.e. they resemble a normal (a.k.a. "Gaussian") distribution), then that offers support that your linear model is a good one for the data. However, if your errors are not normally distributed, then they are likely correlated in some way which indicates that your model is not adequately taking into consideration some factor in your data. It could mean that your data is non-linear and that linear regression is not the appropriate modeling technique.
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If a data batch is approximately normally distributed would it's normal probability plot would be S-Shaped?
yes
What is the probability of rolling a dice 7?
With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.
What is the probability of drawing a seven of hearts?
The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.
What are the characteristics a standard normal probability distribution?
I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you
What requirements are necessary for a normal probability distibution to be a standard normal probability distribution?
The mean must be 0 and the variance must be 1.
If a data batch is approximately normally distributed would it's normal probability plot would be S-Shaped?
yes
A normal probability plot may be used to assess the assumption of normality for a particular batch of data true or false?
True.
Why do the individual observations have to be converted to standardized normal ordered values in order to develop a normal probability plot?
Standardising the observation ensures that the mean is 0 and the standard error is 1. Otherwise the plot could be located anywhere and be concentrated or spread out.
Is normal distribution a discrete probability?
No. Normal distribution is a continuous probability.
What is the probability of rolling a dice 7?
With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.With a single throw of a normal die, the probability is 0.
What is decrease of probability?
the probability of gatting a head from a normal coin is
What is the probability of drawing a seven of hearts?
The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.The probability on a single random draw, from a normal deck of cards, is 1/52.
Is normal distribution also a probability distribution?
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
What is the probability of having a normal child?
The probability is zero! There is no such thing as "normal". Every child (and adult) has some unique characteristics and that makes them not normal - in that respect.
How many random variables are needed to plot a probability distribution?
A probability density function can be plotted for a single random variable.
Is a back to back stem and leaf plot a form of probability?
Yes it is.
What requirements are necessary for a normal probability distibution to be a standard normal probability distribution?
The mean must be 0 and the variance must be 1.
