(2024) STA 2023 - Exam 2
Study online at https://quizlet.com/_hspilv
1. How many spots are there in a full deck of cards?: 365
2. How many cards are there in a full deck of cards?: 52
3. How many face cards are there in a full deck of cards?: 12
4. How many suits are there in a full deck of cards?: 4
5. How many cards are there in each suit in a full deck of cards?: 13
6. Factorials: The product of an integer and all the integers below it
7. Permutation: An arrangement of objects in which order is important
8. Combination: An arrangement of objects in which order is NOT important
9. Law of Large Numbers: A principle stating that the larger the sample size is, the more the statistic
approaches the parameter
10. Discrete random variable: A random variable that may assume a finite or countable number of
outcomes
11. Continuous random variable: A random variable that may assume any or an infinite number of
outcomes
12. Probability distribution: A description of how the probabilities are distributed over the values of the
random variable
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Study online at https://quizlet.com/_hspilv
1. How many spots are there in a full deck of cards?: 365
2. How many cards are there in a full deck of cards?: 52
3. How many face cards are there in a full deck of cards?: 12
4. How many suits are there in a full deck of cards?: 4
5. How many cards are there in each suit in a full deck of cards?: 13
6. Factorials: The product of an integer and all the integers below it
7. Permutation: An arrangement of objects in which order is important
8. Combination: An arrangement of objects in which order is NOT important
9. Law of Large Numbers: A principle stating that the larger the sample size is, the more the statistic
approaches the parameter
10. Discrete random variable: A random variable that may assume a finite or countable number of
outcomes
11. Continuous random variable: A random variable that may assume any or an infinite number of
outcomes
12. Probability distribution: A description of how the probabilities are distributed over the values of the
random variable
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