Answer:
The value is 
The probability has increased
Step-by-step explanation:
From the question we are told that
The percentage that are from outside the country is 
The percentage that logs on everyday is 
The percentage that logs on everyday that are from the inside the country is 
Generally using Bayes' Rule the probability that a person is from the country given that he logs on the website every day is mathematically represented as

Where
is the percentage that are from inside that country which is mathematically represented as



And
is percentage that logs on everyday that are from the outside the country which is evaluated as




Given that the percentage that are from inside that country is 
and that the probability that a person is from the country given that he logs on the website every day is 
We see that the additional information increased the probability
If the width is 9x², then the length is 27x^5+9x^4-18x^3/9x², which equals 3x³+x²+2x. ☺☺☺☺
Let X be the number of female employee. Let n be the sample size, p be the probability that selected employee is female.
It is given that 45% employee are female it mean p=0.45
Sample size n=60
From given information X follows Binomial distribution with n=50 and p=0.45
For large value of n the Binomial distribution approximates to Normal distribution.
Let p be the proportion of female employee in the given sample.
Then distribution of proportion P is normal with parameters
mean =p and standard deviation = 
Here we have p=0.45
So mean = p = 0.45 and
standard deviation = 
standard deviation = 0.0642
Now probability that sample proportions of female lies between 0.40 and 0.55 is
P(0.40 < P < 0.45) = 
= P(-0.7788 < Z < 1.5576)
= P(Z < 1.5576) - P(Z < -0.7788)
= P(Z < 1.56) - P(Z < -0.78)
= 0.9406 - 0.2177
= 0.7229
The probability that the sample proportion of females is between 0.40 and 0.55 is 0.7229
Answer:
Step-by-step explanation:
The step by step calculation is as shown in the attached file.
Answer:
$284.79
Step-by-step explanation:
Hope has $284.79 deposited into his account. Hope's will receive a paycheck every two weeks.