If it is a symmetric distribution, the median must be 130.
The distribution is skewed to the right.
No.
If the distribution is positively skewed , then the mean will always be the highest estimate of central tendency and the mode will always be the lowest estimate of central tendency (If it is a uni-modal distribution). If the distribution is negatively skewed then mean will always be the lowest estimate of central tendency and the mode will be the highest estimate of central tendency. In both positive and negative skewed distribution the median will always be between the mean and the mode. If a distribution is less symmetrical and more skewed, you are better of using the median over the mean.
Yes- this can be proved from the normal distribution function.
for symmetrical distributions your mean equals the median. that is one of the properties of the symmetrical distribution.
Properties of possion distribution
The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.
1.nothing 2.nothing 3.nothing
Given a Poisson distribution with mean = 2. Find P(X < 5)
The standard normal distribution is a subset of a normal distribution. It has the properties of mean equal to zero and a standard deviation equal to one. There is only one standard normal distribution and no others so it could be considered the "perfect" one.
It is a discrete distribution in which the men and variance have the same value.
The mean of a continuous uniform distribution between bounds a and b has a simple formula: μ=a+b2 μ = a + b 2 . (31+ 53 )/2 = 84/2 = 42
it has reproductive property
Actually the normal distribution is the sub form of Gaussian distribution.Gaussian distribution have 2 parameters, mean and variance.When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian.Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"
The "2-deep" rule means that a building should have only the main distribution and the intermediate distribution that feeds the horizontal distribution to the work area.
The mean of a distribution of scores is the average.