If f(X)= 7x +5/3 - x =6x +5/3
y= 6x +5/3
6x= y-5/3
f^-1(y)=x=(y-5/3)/6
So we can write
f(f^-1(y))= f((y-5/3)/6) = 6 (y-5/3)/6 +5/3= y-5/3+5/3= y
The same result can be obtained for f^-1(f(x))=x
If the function is f(x)= 7x +5/(3-x) then it is not invertible since it is not injective (pictures)
The answer is 1/12
The chance of getting a 3 on a six-sided dice is 1/6
The possibility of getting heads on a two-sided coin is 1/2
6 multiplied by 2 is 12
1 multiplied by 1 is 1
Hope it helps!
Answer:
We conclude that there is difference in the proportion of deaths between the 2 groups.
Step-by-step explanation:
We are given that among 2823 drivers not wearing seat belts, 31 died as a result of injuries, and among 7765 drivers wearing seat belts 16 were killed.
Let = <u><em>proportion of deaths when drivers were not wearing seat belts.</em></u>
= <u><em>proportion of deaths when drivers were wearing seat belts.</em></u>
So, Null Hypothesis, :
{means that there is no difference in the proportion of deaths between the 2 groups}
Alternate Hypothesis, :
{means that there is difference in the proportion of deaths between the 2 groups}
The test statistics that would be used here <u>Two-sample z test for proportions;</u>
T.S. = ~ N(0,1)
where, = sample proportion of deaths when drivers were not wearing seat belts =
= 0.011
= sample proportion of deaths when drivers were wearing seat belts =
= 0.002
= sample of drivers not wearing seat belts = 2823
= sample of drivers wearing seat belts = 7765
So, <u><em>the test statistics</em></u> =
= 4.438
The value of z test statistics is 4.438.
<u>Now, at 5% significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.</u>
Since our test statistic doesn't lie within the range of critical values of z, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.
Therefore, we conclude that there is difference in the proportion of deaths between the 2 groups.
Also, <u>Margin of error</u> (E) =
=
= <u>0.00397</u>