Normal Distribution is a symmetric Distribution about its mean.
According to the above two histograms , the first one is not look like a symmetric one so it is not likely to be a normal distribution.
But the second one is look like a symmetric histogram and this could be a histogram of the data having a normal distribution.
a point to be noted that in normal distribution the curve have thin tails , the reason why the mean variance and higher order moments are exists. The first graph has a thick tails so this is not a graph of normal distribution.
How close to a normal distribution are these two histograms? Explain any discrepancy. Lab01 -Measurement-and-Error(1)(2-word OUT...