![]() ![]() Similarly, if an element is in A I, then it can’t be in A. If an element is in A, then it can’t possibly be in A I. Q: Can anything be in both events A and A I?Ī: No. You’ll see more situations where this helps you later on. But sometimes they can be a useful tool for visualizing what’s going on with probabilities. Q: Do I always have to draw a Venn diagram? I noticed you didn’t in that last exercise.Ī: No, you don’t have to. You don’t have to already know any set theory to use Venn diagrams to calculate probability, though, as we’ll cover everything you need to know in this chapter. ![]() In set theory, the possibility space is equivalent to the set of all possible outcomes, and a possible event forms a subset of this. ![]() ![]() Is there a connection?Ī: There certainly is. Q: I’ve seen Venn diagrams before in set theory. As long as the probability is expressed in some form as a value between 0 and 1, it doesn’t really matter. Q: Are probabilities written as fractions, decimals, or percentages?Ī: They can be written as any of these. It can help you make sense of apparent randomness. Probability theory can help you make predictions about your data and see patterns. A lot of statistics has its origins in probability theory, so knowing probability will take your statistics skills to the next level. Q: Why do I need to know about probability? I thought I was learning about statistics.Ī: There’s quite a close relationship between probability and statistics. Here are some examples on a probability scale. A lot of the time, you’ll be dealing with probabilities somewhere in between. If it’s an absolute certainty, then the probability is 1. If an event is impossible, it has a probability of 0. Probability is measured on a scale of 0 to 1. In stats-speak, an event is any occurrence that has a probability attached to it-in other words, an event is any outcome where you can say how likely it is to occur. You can use it to indicate how likely an occurrence is (the probability that you’ll go to sleep some time this week), or how unlikely (the probability that a coyote will try to hit you with an anvil while you’re walking through the desert). Probability is a way of measuring the chance of something happening. This synthetic capacity, when combined with two other critical characteristics of the contemporary designer – the projective and the strategic – might serve as the primary components of a new landscape platform capable of a much richer engagement with the complexities of the contemporary built environment.Have you ever been in a situation where you’ve wondered “Now, what were the chances of that happening?” Perhaps a friend has phoned you at the exact moment you’ve been thinking about them, or maybe you’ve won some sort of raffle or lottery. Landscape Intelligence is based upon the notion that it is the synthetic capacity of landscape architects to range across great extremes of scale and complexity using design and design thinking – from detailed form giving to strategic planning – which distinguishes landscape architects from others among the spatial design disciplines. Landscape Intelligence is aimed at the cultivation of more creative, ecological, and overtly political landscape practices better suited to the wicked problems faced by designers and strategists of the built environment in the 21st century. Landscape Intelligence is currently undergoing redesign, so please check back soon for increased content. ![]()
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