This is a question that has been debated for many years now. Some people believe that it can, and some people believe that it cannot. I am going to tell you what the answer is here, but before we get into this topic, let’s talk about what a normal curve actually means. A normal curve refers to any graph that “follows the same pattern as most of those observed in nature.” This includes things like height or weight and IQ scores among others.
The standard deviation also determines whether or not the graph will represent a normal curve because it tells us how much variation there is between data points on the graph (i.e., how spread out they are). So with all of these factors combined,
Does this graph represent a normal curve?
Yes, the graph does represent a normal curve. As you can see in this graph, there is no particular pattern that stands out on it and all of the data points are rather close together with very little variation between them. The standard deviation in this case is 0 because there’s not much to measure-the variability among these numbers varies by only a small amount (0). This means that the green line represents a perfect example of what we typically think of as “normal”.
No, the graph cannot show us an idea about what true normality looks like if it doesn’t follow any patterns whatsoever or has really big differences from one point to another on its axis.
