Probability Models von David Spade, PhD

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Über den Vortrag

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

  • Probability Models
  • The 10% Rule
  • The Binomial Model
  • Using the Normal Approximation
  • Statistical Significance

Quiz zum Vortrag

  1. A Bernoulli trial has two possible outcomes.
  2. A Bernoulli trial can have up to five possible outcomes.
  3. The probability of success may be different from trial to trial.
  4. The probability of each possible outcome in a Bernoulli trial is the same.
  1. The probability that the first head is on the fourth flip is 0.0864.
  2. The probability that the first head is on the fourth flip is 0.4293.
  3. The probability that the first head is on the fourth flip is 0.6425.
  4. The probability that the first head is on the fourth flip is 0.
  1. The probability of getting 2 heads in 10 flips is 0.120932.
  2. The probability of getting 2 heads in 10 flips is 0.002687.
  3. The probability of getting 2 heads in 10 flips is 0.2.
  4. The probability of getting 2 heads in 10 flips is 0.
  1. The probability that the number of heads is between 30 and 45 is 0.82567.
  2. The probability that the number of heads is between 30 and 45 is 0.31653.
  3. The probability that the number of heads is between 30 and 45 is 1.
  4. The probability that the number of heads is between 30 and 45 is 0.256238.
  1. The normal approximation, as described in Chapter 14, can be used to find the probability that we see a particular number of successes as well as a range of numbers of successes.
  2. In order to use the normal approximation, we need to have the expected number of successes and the expected number of failures each exceed 10.
  3. In order to use the normal approximation to the binomial model, the conditions of the binomial model must be satisfied.
  4. A problem with the normal approximation comes from trying to approximate the distribution of a discrete random variable using a continuous distribution.
  1. 5.
  2. 0.2.
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  1. 4.5.
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  1. 120.
  2. 24.
  3. 30.
  4. 35.
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  1. 0.7.
  2. 0.5.
  3. 0.9.
  4. 1.1.
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Dozent des Vortrages Probability Models

 David Spade, PhD

David Spade, PhD

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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