# Probability Models von David Spade, PhD

### 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. Normal approximation does not allow us to find the probability of a particular number.
2. Normal approximation does not allow us to find the probability of a series of numbers.
3. Normal approximation does not allow us to find the probability of a particular range of dates.
4. Outliers prevent us from finding a discrete result.
5. Variance prevents us from finding a discrete result.
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.
5. The probability that the first head is on the fourth flip is 0.5.
1. The probability of getting 2 heads in 10 flips is 0.12.
2. The probability of getting 2 heads in 10 flips is 0.0027.
3. The probability of getting 2 heads in 10 flips is 0.20.
4. The probability of getting 2 heads in 10 flips is 0.
5. The probability of getting 2 heads in 10 flips is 0.25.
1. The probability that the number of heads is between 30 and 45 is 0.83.
2. The probability that the number of heads is between 30 and 45 is 0.32.
3. The probability that the number of heads is between 30 and 45 is 1.0
4. The probability that the number of heads is between 30 and 45 is 0.26.
5. The probability that the number of heads is between 30 and 45 is 0.15.
1. The normal approximation can be used to find the probability that we see a particular number or 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.
5. We may use this approximation when the success/failure condition is satisfied.
1. 5
2. 0.2
3. 0.3
4. 6
5. 0
1. 4.5
2. 4
3. 5
4. 6
5. 0
1. 120
2. 24
3. 30
4. 35
5. 4
1. 1
2. 2
3. 3
4. 3.5
5. 4
1. 0.7
2. 0.5
3. 0.9
4. 1.1
5. 4

### Dozent des Vortrages Probability Models

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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