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Decoding Your Data
Balancing Data: Understanding Uniform Distribution
Learning Outcome
6
Describe the mean, variance, and applications of the uniform distribution
5
Calculate simple probabilities for a uniform distribution
4
Distinguish between discrete and continuous uniform distributions
3
Explain the concept of a uniform distribution
2
Differentiate between discrete and continuous distributions
1
Define a probability distribution
Earlier :
-
We defined random variables
- We said they assign numbers to outcomes
Now we ask:
How likely is each possible value of that random variable?
A probability distribution answers that question...
Hook/Story/Analogy(Slide 4)
Transition from Analogy to Technical Concept(Slide 5)
Core Concepts (Slide 6)
Core Concepts (Slide 7)
Core Concepts (.....Slide N-3)
Summary
5
Larger range leads to larger variance and models fairness
4
Mean is the midpoint of the range
3
Uniform Distribution can be discrete or continuous
2
Uniform distribution gives equal probability to outcomes
1
Probability distribution assigns likelihood to values
Quiz
Uniform distribution means?
A. One value is most likely
B. All values are equally likely
C. Values cluster at centre
D. Distribution is skewed
Quiz-Answer
Uniform distribution means?
A. One value is most likely
B. All values are equally likely
C. Values cluster at centre
D. Distribution is skewed
Balancing Data: Understanding Uniform Distribution
By Content ITV
