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Answer:
9.193259%
Step-by-step explanation:
In order to obtain the percentage of military members in the reserves who are Black, we will have to multiply the percentage of Black military members in the reserve by the percentage of military members in the reserve. This is calculated as follows:
Military members in the reserves who are Black (%) = 77.1771% × 11.9119%
= 9.193259%
Therefore, he percentage of military members in the reserves who are Black is 9.193259%
.
Example
For example, let assume the total number of active members in the military is 100.
To obtain the number of military members who are in the reserves, we multiply 77.1771% by 100. This gives us 78 approximately.
To obtain the number of military members in the reserves who are Black, we multiply 11.9119% by 78 we got above who are active military members in the reserves. This gives us 9 members approximately.
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Use substitution.
anywhere you see "a" , than you would plug in b + 2 in for it so....
(b - (b + 2)^4
now take the negative sign and distribute it "+"
so b - b is 0, than 0 - (-2) is -2.
so what is (-2)^4 ????? it would become positive 16
Answer:
Now we can find the p value. Since we have a bilateral test the p value would be:
Since the p value is higher than the significance level of 0.1 we have enough evidence to FAIL to reject the null hypothesis and the best conclusion for this case would be:
Do Not reject H0
Step-by-step explanation:
Information provided
n=200 represent the sample size slected
X=155 represent the cell phone owners used text messaging
estimated proportion of cell phone owners used text messaging
is the value to verify
represent the significance level
We need to conduct a z test for a proportion
z would represent the statistic
represent the p value
System of hypothesis
We want to verify if the true proportion of cell phone owners used text messaging is different from 0.73 so then the system of hypothesis are:
Null hypothesis:
Alternative hypothesis:
The statistic to check this hypothesis is given by:
(1)
Replacing the data given we got:
Now we can find the p value. Since we have a bilateral test the p value would be:
Since the p value is higher than the significance level of 0.1 we have enough evidence to FAIL to reject the null hypothesis and the best conclusion for this case would be:
Do Not reject H0