yup, it's a bell curve
Mean
A normal distribution is symmetric and when looked at on a graph, the graph looks like a bell shaped curve. Approximately 95 percent of its values should lie within two standard deviations of the mean. Frequency of the data lies mostly in the middle of the curve.
They are all the same.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
yes it is true
Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.
Mean
A normal distribution is symmetric and when looked at on a graph, the graph looks like a bell shaped curve. Approximately 95 percent of its values should lie within two standard deviations of the mean. Frequency of the data lies mostly in the middle of the curve.
They are all the same.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
If it is a symmetric distribution, the median must be 130.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
It can do. If you define a quarter of it as one part and the rest as another, the two WILL be different! But the distribution IS symmetric about its mean.
A bell curve describes the graphed curve that normal distribution produces for a set of data. The curve slopes upward before returning downward after the point of the mean.
yes it is true
No, not all distributions are symmetrical, and not all distributions have a single peak.
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.