Answer:
data shows a positive or negative correlation, we can model the trend in the data using a line of best fit. Example 1 ... A curve of best fit is used to find an equation that best fits a quadratic function.
Step-by-step explanation:
Answer:
60/5 is equal to 12. so 12 x 2= 24, and 5 x 12=60, so 24/60, or just 24
Step-by-step explanation:
Answer:
a) 0.2416
b) 0.4172
c) 0.0253
Step-by-step explanation:
Since the result of the test should be independent of the time , then the that the test number of times that test proves correct is independent of the days the river is correct .
denoting event a A=the test proves correct and B=the river is polluted
a) the test indicates pollution when
- the river is polluted and the test is correct
- the river is not polluted and the test fails
then
P(test indicates pollution)= P(A)*P(B)+ (1-P(A))*(1-P(B)) = 0.12*0.84+0.88*0.16 = 0.2416
b) according to Bayes
P(A∩B)= P(A/B)*P(B) → P(A/B)=P(A∩B)/P(B)
then
P(pollution exists/test indicates pollution)=P(A∩B)/P(B) = 0.84*0.12 / 0.2416 = 0.4172
c) since
P(test indicates no pollution)= P(A)*(1-P(B))+ (1-P(A))*P(B) = 0.84*0.88+ 0.16*0.12 = 0.7584
the rate of false positives is
P(river is polluted/test indicates no pollution) = 0.12*0.16 / 0.7584 = 0.0253
Answer:
multiply the length value by 1760
2.4*1760 is 4224
Step-by-step explanation:
Answer:
1.98
Step-by-step explanation:
sin(26) = EF/4.5 -->
.44 = EF/4.5 -->
.44 * 4.5 = EF -->
1.98 = EF
