Thirty eight percent of US adults will be the victim of a crime in their lifetime based on n = 1014 US adults.
What is the % chance that another sample of US adults who have been the victim of a crime in their lifetime will be P ( p > 41%)?
What is the % chance that another sample of US adults who have been the victim of a crime in their lifetime will be P ( p < 38%)?
What is the % chance that another sample of US adults who have been the victim of a crime in their lifetime will be P ( 34% < p < 37%)?
Answer)
N = 1014
P = 0.38 (38%)
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 385.32
N*(1-p) = 628.68
Both the conditions are met so we can use standard normal z table to estimate the probability
z = (oberved p - claimed p)/standard error
Standard error = √{claimed p*(1-claimed p)/√n
A)
P(x>0.41)
Observed P = 0.41
Claimed P = 0.38
N = 1014
After substitution
Z = 1.97
From z table, P(z>1.97) = 0.0244
B)
P(x<0.38)
Observed P = 0.38
Rest is same
Z = 0
From z table, P(z<0) = 0.5
C)
P(0.34<x<0.37) = P(x<0.37) - P(x<0.34)
P(x<0.37)
Z = -0.66
From z table, P(z<-0.66) = 0.2546
P(x<0.34)
Z = -2.62
From z table, p(z<-2.62) = 0.0044
Required answer is 0.2546 - 0.0044 = 0.2502
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