Risultati di ricerca
5 giorni fa · He doesn’t discuss the rule of thirds (either in concept or by name), possibly because that tip was specific to photography, and his lessons and examples seem to come entirely from painting.
1 giorno fa · Great light is what separates good pictures from great pictures. Try shooting pictures early in the morning as the sun is rising or in the evening as the sun is setting to see the effect that good light has on the subject of your photos. There’s a reason that photographers refer to these two times of the day as magic hour.
5 giorni fa · It’s all about balance and interest. When you divide your frame into a 3×3 grid, you create four points where the lines intersect—these are your power points. Placing your subject or key elements on these points, rather than dead center, adds tension, energy, and interest to your photo. Imagine you’re photographing a stunning sunset.
5 giorni fa · The empirical rule, also sometimes called the three-sigma or 68-95-99.7 rule, is a statistical rule which states that in a normal distribution, almost all observed data will fall within three ...
1 giorno fa · Rule of law implies that every citizen is subject to the law. It stands in contrast to the idea that the ruler is above the law, for example by divine right. Despite wide use by politicians, judges and academics, the rule of law has been described as "an exceedingly elusive notion".
1 giorno fa · Probability theory. In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode ), while ...
4 giorni fa · The empirical rule, also known as the 68-95-99.7 rule, hinges on the standard deviation to create a framework for understanding the dispersion of data points. 1. Understanding Variability: The empirical rule posits that approximately 68% of data points lie within one standard deviation of the mean, 95% within two, and 99.7% within three.
