The domain of the Normal distribution is the whole of the real line. As a result the horizontal axis is asymptotic to the Normal distribution curve. The curve gets closer and closer to the axis but never, ever reaches it.
This is because the normal distribution has a domain that extends to infinity in both directions.
It is true. Because the normal distribution is above the horizontal axis for all values, the area under it is a positive quantity no matter the z value.
The horizontal axis of a histogram and frequency polygon typically represents the intervals or categories of the data being analyzed, known as bins or classes. Each bin corresponds to a range of values, allowing for the visualization of the distribution of a dataset. In a frequency polygon, the midpoints of these bins are often plotted to connect the points with lines, illustrating the overall shape of the distribution.
It is the horizontal line or axis below the bars.
The horizontal (not horizantle) axis is usually the categories.
because it is imposible
This is because the normal distribution has a domain that extends to infinity in both directions.
It is true. Because the normal distribution is above the horizontal axis for all values, the area under it is a positive quantity no matter the z value.
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
on the horizontal axis!
It is a horizontal axis
The horizontal axis is known as the x-axis.
The horizontal axis is also called the x-axis.
the horizontal axis is known as the x axis
It can be. However, if there is a category axis, it is usually the horizontal axis.
The normal curve, or Gaussian distribution, approaches but never touches the axis because it is defined mathematically to extend infinitely in both directions. As you move further away from the mean, the probability density decreases, but it never actually reaches zero; instead, it asymptotically approaches the horizontal axis. This characteristic reflects the fact that while extreme values become increasingly unlikely, they are still possible, ensuring that the total area under the curve remains equal to one.
the x-axis is horizontal.