.1 Calculate the following probabilities: The probability that a patient is a female or hasn't got a family history of CVD is: The probability that a male has a family history of CVD is: 1.2 Events CC and FF are: dependent, since P(C∩F)≠P(C)⋅P(F). independent, since P(C∩F)≠P(C)⋅P(F). dependent, since P(C∪F)≠P(C)+P(F). dependent, since P(C∩F)=P(C)⋅P(F). independent, since P(C∪F)=P(C)+P(F). independent, since P(C∪F)≠P(C)+P(F). independent, since P(C∩F)=P(C)⋅P(F). dependent, since P(C∪F)=P(C)+P(F). 1.3 Let: p= population proportion of patients with a family history of CVD p¯= sample proportion of patients with a family history of CVD The estimated standard error of p¯ is: The lower limit of a 90% confidence interval is:

.1 Calculate the following probabilities: The probability that a patient is a female or hasn't got a family history of CVD is: The probability that a male has a family history of CVD is: 1.2 Events CC and FF are: dependent, since P(C∩F)≠P(C)⋅P(F). independent, since P(C∩F)≠P(C)⋅P(F). dependent, since P(C∪F)≠P(C)+P(F). dependent, since P(C∩F)=P(C)⋅P(F). independent, since P(C∪F)=P(C)+P(F). independent, since P(C∪F)≠P(C)+P(F). independent, since P(C∩F)=P(C)⋅P(F). dependent, since P(C∪F)=P(C)+P(F). 1.3 Let: p= population proportion of patients with a family history of CVD p¯= sample proportion of patients with a family history of CVD The estimated standard error of p¯ is: The lower limit of a 90% confidence interval is:

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.8: Probabilities Of Disjoint And Overlapping Events

Problem 2C

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