Answer:
This image is a graph of a normal distribution, also known as a Gaussian distribution. The normal distribution is a common probability distribution that has a bell-shaped or symmetrical curve. The graph shows the probability density function of a normal distribution with a mean (μ) of 0 and a standard deviation (σ) of 1.
In a normal distribution, the mean is the central value and the standard deviation measures the spread of the distribution. The standard deviation of 1 in this graph indicates that most of the data values are within 1 standard deviation from the mean. The curve of the distribution shows that the highest point (peak) is at the mean (0) and that the probability density decreases as we move away from the mean in either direction.
The axis on the left side of the graph represents the probability density, which is the probability per unit of measurement. The area under the curve represents the total probability, which is equal to 1. The x-axis represents the range of values that the random variable can take.
Overall, this graph is a useful tool for understanding the properties of a normal distribution and for making statistical inferences or predictions about a population based on a sample of data.