Answer:
The campaign could be improved by 78% if the listed recommendations are followed.
Explanation:
While conducting the following Search advertising program for a few months, Meredith has announced that revenues of its branded goods are beginning to slow. She reviews her Google Advertising Suggestions webpage which states that her campaign's performance ranking is 22 points.
Thus, the campaign will be increased by 78% if the above recommendations are implemented to inform Meredith regarding its Google Search Advertising plan.
Answer:
employees.get(0)
Explanation:
In the programming, the index of ArrayList start from zero.
So, the element start storing in the ArrayList from the zero index.
get() is the function which is used to retrieve or getting the value in the
ArrayList.
The function employees.get(0), it retrieve the element of zero index.
The function employees.get(1), it retrieve the element of first index.
The function employees.first(1), it is wrong calling.
The function employees.get(), it is wrong calling. you have to enter the index value inside the get().
Imports System
Public Module Module1
--Public Sub Main()
----For value As Integer = 0 to 10
------Console.WriteLine(20 - value)
----Next
--End Sub
End Module
Hai what is the answer choices?? please tell me so I can help u
Answer:
The probability that you have the disease, given that your test is positive is ≈ 0.0098
Explanation:
This is a conditional probability problem.
Let P(A|B) denote the conditional probability of A given B and it satisfies the equation
- (1) P(A|B) = P(A) × P(B|A) / P(B)
We have the the probabilities:
- P(Testing Positive | Having Disease) =0.99
- P(Testing Negative | Not Having Disease) =0.99
- P(Testing Positive | Not Having Disease) = 1-0.99=0.01
- P(Having Disease) = 0.0001 (striking only one in 10,000 people)
- P(Not Having Disease)= 1 - 0.0001 = 0.9999
<u>We can calculate</u>:
P(Testing Positive) =
P(Having Disease) × P(Testing Positive | Having Disease) + P(Not Having Disease) × P(Testing positive | Not Having Disease ) = 0.0001×0.99 + 0.9999×0.01 =0.010098
<u>from </u><u>(1) </u><u>we have the equation</u>:
P(Having Disease|Testing Positive)=P(Having Disease) × P(Testing Positive | Having Disease)/ P(Testing Positive) = 0.0001×0.99/0.010098≈0.0098
Thus, the probability that you have the disease, given that your test is positive is ≈ 0.0098
