The number of customers that enter a store during one day is an example of O either a continuous or a discrete random variable, depending on the gender of the customers. O either a continuous or a discrete random variable, depending on the number of the customers. O a discrete random variable. a continuous random variable.
The number of customers that enter a store during one day is an example of O either a continuous or a discrete random variable, depending on the gender of the customers. O either a continuous or a discrete random variable, depending on the number of the customers. O a discrete random variable. a continuous random variable.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 85E
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![The number of customers that enter a store during one day is an example of
either a continuous or a discrete random variable, depending on the gender of the customers.
either a continuous or a discrete random variable, depending on the number of the customers.
O a discrete random variable.
O a continuous random variable.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa36fd029-dd96-4b83-aafa-6534dc29805e%2F12f8735f-c136-4685-8691-ec0cc5caf749%2Fbqwojk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The number of customers that enter a store during one day is an example of
either a continuous or a discrete random variable, depending on the gender of the customers.
either a continuous or a discrete random variable, depending on the number of the customers.
O a discrete random variable.
O a continuous random variable.
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