0
What else can I help you with?
Does all symmetrical distributions are normal distribution?
It is not necessary that all symetric distribution may be normal.
Do t distributions have less spread than normal distributions?
I think yes or no
Are all symmetric distribution are normal?
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
How do you determine if variances are similar?
If the two distributions can be assumed to follow Gaussian (Normal) distributions then Fisher's F-test is the most powerful test. If the data are at least ordinal, then you can use the Kolmogorov-Smirnov two-sample test.
Is unimodal a normal distribution?
It may be or may not be; however a normal distribution is unimodal.
Does the standard normal distribution is unimodal?
Yes it is.
Normal distribution is symmetric with single peak.Does this mean that all distibutions are normal?
No, not all distributions are symmetrical, and not all distributions have a single peak.
Are all symmetric distributions normal distributions?
No. There are many other distributions, including discrete ones, that are symmetrical.
Does a normal probability distribution include a bimodal distribution?
No, the normal distribution is strictly unimodal.
What is unimodel?
Unimodal is having a normal disturbution. The mean, median, and mode are all a the center. When looking at a graph, there is one maximum.
Does all symmetrical distributions are normal distribution?
It is not necessary that all symetric distribution may be normal.
Is the normal distribution curve unimodal?
Yes, the normal distribution curve is unimodal, meaning it has a single peak or mode. This peak represents the mean, median, and mode of the distribution, which are all located at the center of the curve. The symmetry of the normal distribution around this central peak is a key characteristic, contributing to its widespread use in statistics and probability theory.
How would you describe the shape of a normal curve?
Bell-shaped, unimodal, symmetric
Does this means that all symmetric distribution are normal Explain?
Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.
Why is it correct to say a normal distribution and the standard normal distribution?
A normal distribution refers to any bell-shaped distribution characterized by its mean and standard deviation, allowing for a variety of shapes depending on these parameters. The standard normal distribution, however, is a specific case of a normal distribution where the mean is 0 and the standard deviation is 1. This standardization allows for easier comparison and calculation of probabilities using z-scores, which represent the number of standard deviations a data point is from the mean. Thus, while all standard normal distributions are normal distributions, not all normal distributions are standard normal distributions.
Why is the mean and median not pratical when it comes to the mode?
The three are different measures of central tendency. None of them are substitutes for the other and, except in symmetric unimodal distributions, none of them can be used to estimate another.
