Answer:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of
then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
Step-by-step explanation:
Information given
n=200 represent the random sample taken
X=75 represent the number of people Liberal
estimated proportion of people liberal
is the value that we want to test
z would represent the statistic
represent the p value
Hypothesis to test
We want to verify if the true proportion of adults liberal is higher than 0.24:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Replacing the info given we got:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of
then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
Take all the zero's away and multiply the numbers that are left.
which is 1*1=1 now add all of the zeros to that one which will turn it into
10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
which is the answer
Answer:
3?
Step-by-step explanation:
I think it is 3, because...
33 - 17 = 16
16 - 4 = 12
12/4 = 3
???
Answer: The answer would be b, the side-angle-side postulate. :)
Step-by-step explanation:
This would be due to the definition of a bisector, and the reflexive property.