If you wanted to know the probability of getting either outcome A or B, and they are mutually exclusive, which equation would you use? Pr[A or B] = Pr[A] - Pr[B] Pr[A or B] = Pr[A]/Pr[B] Pr[A or B] = Pr[A] + Pr[B] Pr[A or B] = Pr[A] x Pr[B]
If you wanted to know the probability of getting either outcome A or B, and they are mutually exclusive, which equation would you use? Pr[A or B] = Pr[A] - Pr[B] Pr[A or B] = Pr[A]/Pr[B] Pr[A or B] = Pr[A] + Pr[B] Pr[A or B] = Pr[A] x Pr[B]
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 53E
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![If you wanted to know the probability of getting either outcome A or B, and they are
mutually exclusive, which equation would you use?
Pr[A or B] = Pr[A] - Pr[B]
Pr[A or B] = Pr[A]/Pr[B]
Pr[A or B] = Pr[A] + Pr[B]
Pr[A or B] = Pr[A] x Pr[B]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1b9a505-940b-4485-938d-3f61851a534b%2F4d783c2e-b33f-4ee3-b20a-3250c01118de%2Fgti6s7s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:If you wanted to know the probability of getting either outcome A or B, and they are
mutually exclusive, which equation would you use?
Pr[A or B] = Pr[A] - Pr[B]
Pr[A or B] = Pr[A]/Pr[B]
Pr[A or B] = Pr[A] + Pr[B]
Pr[A or B] = Pr[A] x Pr[B]
![Which of the following is a way to reduce bias in experimental design?
blinding researchers to knowledge of whether participants are placed in a
treatment or control group
include replication in the study design
having a balanced number of units in each group
include extreme treatment values for treatment levels](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1b9a505-940b-4485-938d-3f61851a534b%2F4d783c2e-b33f-4ee3-b20a-3250c01118de%2Fc8vdw9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Which of the following is a way to reduce bias in experimental design?
blinding researchers to knowledge of whether participants are placed in a
treatment or control group
include replication in the study design
having a balanced number of units in each group
include extreme treatment values for treatment levels
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