Answer:
a)
b)
If we compare the p value and the significance level given we see that
we have enough evidence to reject the null hypothesis at 5% of significance.
Step-by-step explanation:
Data given and notation
n=114 represent the random sample taken
estimated proportion of people that their approval rating might have changed
is the value that we want to test
represent the significance level
Confidence=95% or 0.95
z would represent the statistic (variable of interest)
represent the p value (variable of interest)
Hypothesis
We need to conduct a hypothesis in order to test the claim that true proportion of people that their approval rating might have changed is 0.58 or no.:
Null hypothesis:
Alternative hypothesis:
Part a
(1)
Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
Part b: Statistical decision
The significance level provided
. The next step would be calculate the p value for this test.
Since is a bilateral test the p value would be:
If we compare the p value and the significance level given we see that
we have enough evidence to reject the null hypothesis at 5% of significance.
The answer would be
C = 10
P = 20
Answer:
45= 2 x 3 x 7
12= 2x2x3
Step-by-step explanation:
42
/ \
2 21
/ \
3 7
12
/ \
2 6
/ \
2 3
So first you would combine the like-terms so you get:

and combine the second like-terms:

now you only have a two step equation and you continue by doing the reciprocal and you add the -1/5 to the 24.8 where you get:
7/9x=24.6
then because the 7/9 is being multiplied by the x and your trying to isolate it you divide it by the 7/9 on both sides and you'll end up getting
x=31.628571429....
Answer:
0.686 (approximately)
Step-by-step explanation: