Answer:
Probability cured of cervical cancer = 18C0 (0.30)⁰(0.70)¹⁸ + 18C1(0.30)(0.70)¹⁷
Step-by-step explanation:
Given:
Patients cured = 30% = 0.30
Number of patients (n) = 18
Probability cured of cervical cancer = P(X≤1)
Probability cured of cervical cancer = P(X=0) + P(X=1)
Probability cured of cervical cancer = 18C0 (0.30)⁰(0.70)¹⁸ + 18C1(0.30)(0.70)¹⁷
Answer:
A) The mean of the chi-square distribution is 0
A) is not a property of chi square distribution.
Step-by-step explanation:
We have to find the properties of a chi square test.
A) False
The mean of a chi square distribution is equal to the degree of freedom.
B) True
The chi-square distribution is non symmetric.
C) True
The chi square value can be zero and positive.
It can never be negative because it is based on a sum of squared differences .
D) True
The chi-square distribution is different for each number of degrees of freedom.
When we are working with a single population variance, the degree of freedom is n - 1.
Answer:
The latest possible date is December, 14th.
Step-by-step explanation:
Notice that the second Friday of December is n+7, where n is the date for the first Friday of December. So, the latest the first Friday, the latest the second. As the weeks have seven days, the first Friday will be between 1st and 7th of each month. So, the latest first Friday will be 7th. Therefore, the latest second Friday will be 14th.
First we need to find how much the annual global seafood consumption (agsc) rose, which is 16 pounds
now, we find how much percent of 22 is 16. we put it through a calculator and, rounded to the nearest tenth, get 72.7%
so, the percent increase is 72.7%
In order to find the percent error, we need to first find the difference between what was expected and what is actually costed. We do this by subtracting:

So now we know that the expected amount was off by $63. To find the percent error, we need to take this $63, and divide it by the amount that was estimated. Let's do that now:

However this is in decimal form. We need to multiply by 100 in order to get it in a percent:

Now we know that
the percent error of the hospital bill estimate is 13.64%.