What are the properties of
(i) discrete random variable and
(ii) continuous random variable?
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Discrete Random Variable:
• A variable which can take only certain values.
• The value of the variables can increase incomplete numbers
• Binomial, Poisson, Hypergeometric probability distributions come under this category
• Example: Number of students who opt for commerce in class 11, say 30, 35, 40, 45, and 50.
Continuous random variable:
• A variable which can take any value in a particular limit.
• Its value increases infractions but not in jumps.
• Normal, student’s t and chi-square distribution come under this category.
• Example: Height, Weight and age of family members: 50.5 kg, 30 kg, 42.8 kg and 18.6 kg.