No, not all distributions are symmetrical, and not all distributions have a single peak.
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.
the normal distribution is a bell shape and expeonential is rectangular
The shape of a t distribution changes with degrees of freedom (df). As the the df gets very large the shape of the t distribution will begin to look similar to that of a normal distribution. However, the t distribution has more variability than a normal distribution; especially when the df are small. When this is the case the t distribution will be flatter and more spread out than the normal distributions.
1
Pi is an irrational number with an infinite number of digits.The answer to this question depends upon whether pi is a "normal" irrational number or not. By "normal" in this context we mean that it has an infinite number of non repeating digits and there is an equal probability for the occurrence of any digit in the number. If this is true then in an infinite sequence, where any digit has an equal chance of appearing, then there must be an infinite number of that digit. So the answer is that there are an infinite number of zeroes in pi.If pi is not normal then the answer is unknown.
No. There are many other distributions, including discrete ones, that are symmetrical.
I think yes or no
No, not all distributions are symmetrical, and not all distributions have a single peak.
About half the time.
The domain of the normal distribution is infinite.
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.
No. Normal distribution is a special case of distribution.
There is no such thing. The Normal (or Gaussian) and Binomial are two distributions.
A distribution that is NOT normal. Most of the time, it refers to skewed distributions.
The Normal ditribution is symmetric but so are other distributions.
Yes. And that is true of most probability distributions.