.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:

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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1.1 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: 

The following table classifies patients in a research study of cardiovascular risk factors according to their gender and whether they have a family
history of cardiovascular disease (CVD):
Gender
CVD
Female
Male
Total
Yes
56
34
90
No
224
286
510
Total
280
320
600
Define the events:
• F = patient is a female
C = patient has a family history of cardiovascular disease (CVD)
Transcribed Image Text:The following table classifies patients in a research study of cardiovascular risk factors according to their gender and whether they have a family history of cardiovascular disease (CVD): Gender CVD Female Male Total Yes 56 34 90 No 224 286 510 Total 280 320 600 Define the events: • F = patient is a female C = patient has a family history of cardiovascular disease (CVD)
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