Answer:
a) Null hypothesis:
Alternative hypothesis:
b)
c)
d)
e) For this case since the statistic is lower than the critical value and the p value higher than the significance level we have enough evidence to FAIL to reject the null hypothesis so then we don't have information to conclude that the true proportion is higher than 0.12
Step-by-step explanation:
Information given
n=1000 represent the random sample selected
X=134 represent the number of young drivers ages 18 – 24 that had an accident
estimated proportion of young drivers ages 18 – 24 that had an accident
is the value that we want to verify
represent the significance level
Confidence=95% or 0.95
z would represent the statistic
Alternative hypothesis:
The statistic would be given by:
(1)
Part b
For this case since we are conducting a right tailed test we need to find a critical value in the normal standard distribution who accumulates 0.05 of the area in the right and we got:
Part c
For this case the statistic would be given by:
Part d
The p value can be calculated with the following probability:
Part e
For this case since the statistic is lower than the critical value and the p value higher than the significance level we have enough evidence to FAIL to reject the null hypothesis so then we don't have information to conclude that the true proportion is higher than 0.12
Answer:
318125267
Step-by-step explanation:
-_-...............that is the answer
Answer:
13
Step-by-step explanation:
Estimate 5.89 to 6.
5.89 ≈ 6
Estinate 7 1/12 to 7.
7.083 ≈ 7
Estimate the sum.
7 + 6 = 13
Answer:
the answer is c your welcome
Step-by-step explanation:
10 x 10 = 100
100 x 5 = 500
10 x 10 x 10 = 1,000
1,000 x 4 = 4,000
4,000 + 500 = 4,500
Hope this helped!