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kondor19780726 [428]
3 years ago
12

Which set of numbers is included in the solution set of 4-3x<-2

Mathematics
1 answer:
raketka [301]3 years ago
6 0
-2 is less than 1 because if you subtract 4-3x is going to be 1x and -2 is going to stey the same
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After 273 m3 of ethylene oxide is formed at 748 kPa and 525 K, the gas is cooled at constant volume to 293 K.The new pressure is
Anuta_ua [19.1K]
P1/T1 = P2/T2 

<span>748 / 525 = P2/293 </span>

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Solve for x.<br><br> −32&gt;−5+9x<br><br><br><br> Enter your answer, as an inequality, in the box.
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1 cm= 4 meters model is 75 1/4 cm tall what is the actuall height
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[6 points] Prove Bayes’ Theorem. Briefly explain why it is useful for machine learning problems, i.e., by converting posterior p
djverab [1.8K]

Answer: Mathematically Bayes’ theorem is defined as

P(A\B)=P(B\A) ×P(A)

P(B)

Bayes theorem is defined as where A and B are events, P(A|B) is the conditional probability that event A occurs given that event B has already occurred (P(B|A) has the same meaning but with the roles of A and B reversed) and P(A) and P(B) are the marginal probabilities of event A and event B occurring respectively.

Step-by-step explanation: for example, picking a card from a pack of traditional playing cards. There are 52 cards in the pack, 26 of them are red and 26 are black. What is the probability of the card being a 4 given that we know the card is red?

To convert this into the math symbols that we see above we can say that event A is the event that the card picked is a 4 and event B is the card being red. Hence, P(A|B) in the equation above is P(4|red) in our example, and this is what we want to calculate. We previously worked out that this probability is equal to 1/13 (there 26 red cards and 2 of those are 4's) but let’s calculate this using Bayes’ theorem.

We need to find the probabilities for the terms on the right-hand side. They are:

P(B|A) = P(red|4) = 1/2

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When we substitute these numbers into the equation for Bayes’ theorem above we get 1/13, which is the answer that we were expecting.

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3 years ago
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