The shape of the normal curve depends on its ___________a)Mean deviati...
This can be seen in the pdf of normal distribution where standard deviation is a variable.
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The shape of the normal curve depends on its ___________a)Mean deviati...
Standard Deviation
One of the key factors that determine the shape of the normal curve is the standard deviation. The normal curve is a symmetric bell-shaped curve, and the standard deviation helps to measure the spread of data points around the mean. Here's how the standard deviation affects the shape of the normal curve:
Spread of Data
- The standard deviation indicates how spread out the data points are in a dataset. A larger standard deviation means that the data points are spread out more widely, resulting in a flatter and wider curve.
- On the other hand, a smaller standard deviation means that the data points are clustered closely around the mean, leading to a taller and narrower curve.
Tails of the Curve
- The standard deviation also influences the tails of the normal curve. A larger standard deviation results in longer tails, indicating that there are more data points further away from the mean.
- Conversely, a smaller standard deviation leads to shorter tails, suggesting that the data points are concentrated closer to the mean.
Peak of the Curve
- The peak of the normal curve occurs at the mean, and the standard deviation affects the height of this peak. A larger standard deviation results in a lower peak, while a smaller standard deviation leads to a higher peak.
In conclusion, the standard deviation plays a crucial role in defining the shape of the normal curve by determining the spread, tails, and peak of the curve.