# Introduction to Probability von David Spade, PhD

### Über den Vortrag

Der Vortrag „Introduction to Probability“ von David Spade, PhD ist Bestandteil des Kurses „Statistics Part 1“. Der Vortrag ist dabei in folgende Kapitel unterteilt:

• Introduction to Probability
• Modeling Probability
• The Complement Rule
• Independent Events
• Probability Pitfalls

### Quiz zum Vortrag

1. In a random phenomenon, the possible outcomes of a trial are known, but it is unknown what will happen on any particular trial
2. In a random phenomenon, it is known what will happen on any given trial
3. In a random phenomenon, the possible outcomes of a trial are unknown
4. In a random phenomenon, the possible outcomes of a trial are known, and it is also known what will happen on each trial
1. If an event A has probability 0.9, and it has not occurred in the first 10 trials of a random phenomenon, it is sure to occur on the 11th.
2. In order for the Law of Large Numbers to apply, each trial must be carried out independently
3. If we repeat a random phenomenon over and over again, the relative frequency of the occurrence of a particular outcome or event settles around the probability of an event
4. The Law of Large numbers applies only to long-run relative frequencies
1. If A and B are two events, then P (A) + P (B) must be smaller than 1
2. If the probability of an event is 0, the event never occurs
3. If the probability of an event is 1, the event always occurs
4. If S is the sample space, then P ( S ) = 1
1. The probability that none of these events happens is 0.2
2. The probability that none of these events happens is 0.8
3. The probability that none of these events happens is 0
4. The probability that none of these events happens is 1
1. If A and B are disjoint events, the probability that both of them will occur can be found by multiplying P(A) and P(B)
2. If A and B are independent, the probability that both will occur can be found by multiplying P(A) and P(B)
3. If A and B are disjoint events, the probability that one of them will occur can be found by adding P(A) and P(B)
1. 8
2. 0
3. 1
4. 0.5
5. 0.2
1. 0
2. 1
3. 0.5
4. 0.2
5. 8
1. 1
2. 0
3. 0.5
4. 0.2
5. 8
1. 1/6
2. 0
3. 2/13
4. 1/15
5. 2/85
1. 0.6
2. 0.5
3. 0.4
4. 0.3
5. 0.2

### Dozent des Vortrages Introduction to Probability

Dr. David Spade is an Assistant Professor of Mathematical Sciences and Statistics at the University of Wisconsin-Milwaukee and holds a courtesy appointment as an Assistant Professor of Statistics at the University of Missouri-Kansas City, USA.
He obtained his MS in Statistics in 2010 and then completed his PhD in Statistics from Ohio State University in 2013.
An experienced mathemathics instructor, Dr. Spade has been teaching diverse statistics courses from the introductory to the graduate level since 2007.
Within Lecturio, he teaches courses on Statistics.

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prob
von Michael b. am 11. Juli 2020 für Introduction to Probability

good overview and a clear into to the topic good speaker

oder