A data scientist tracked how many cups of coffee she drank every day at work over the course of a year. She used the data to build a probability distribution where the random variable X represents the number of cups of coffee she drank on a given day. Here is the partially completed distribution: 2 0.18 3 24 P(X) 0.05 0.10 0.42 0.25 Then P( X = 1 or X 2 4) = O 0.35 O 0.75 0.57 None of other options
A data scientist tracked how many cups of coffee she drank every day at work over the course of a year. She used the data to build a probability distribution where the random variable X represents the number of cups of coffee she drank on a given day. Here is the partially completed distribution: 2 0.18 3 24 P(X) 0.05 0.10 0.42 0.25 Then P( X = 1 or X 2 4) = O 0.35 O 0.75 0.57 None of other options
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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
Transcribed Image Text:A data scientist tracked how many cups of coffee she drank every day at work over the
course of a year. She used the data to build a probability distribution where the random
variable X represents the number of cups of coffee she drank on a given day. Here is the
partially completed distribution:
2
0.18
3
24
P(X)
0.05
0.10
0.42
0.25
Then P( X = 1 or X 2 4) =
O 0.35
O 0.75
0.57
None of other options
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