choose correct answer and explain why its true or how you get it?
1/A discrete probability distribution:
a/ 
assigns a probability to each possible value of the random variable. 

b/ 
can assume values between 1 and +1. 

c/ 
is a listing of all possible values of the random variable. 

d/is independent of the parameters of the distribution 2/ The probability that event A occurs, given that event B has occurred, is an example of:

1) A discrete probability distribution:
assigns a probability to each possible value of the random variable.
this is the definition of a dicrete probability distribution.
2)
The probability that event A occurs, given that event B has occurred, is an example of
Conditional Probability.
because there is a condition attached, given that one even has occured , it gives the probabillity of another event happening.
3)The variable in a normal distribution can assume any value between
1 and 1
This can be verified by the standard normal distribution table.
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