Answer:
the probability that the sample mean will be larger than 1224 is 0.0082
Step-by-step explanation:
Given that:
The SAT scores have an average of 1200
with a standard deviation of 60
also; a sample of 36 scores is selected
The objective is to determine the probability that the sample mean will be larger than 1224
Assuming X to be the random variable that represents the SAT score of each student.
This implies that ;
the probability that the sample mean will be larger than 1224 will now be:
From Excel Table ; Using the formula (=NORMDIST(2.4))
P(\overline X > 1224) = 1 - 0.9918
P(\overline X > 1224) = 0.0082
Hence; the probability that the sample mean will be larger than 1224 is 0.0082
A: Division
you would take the 438/15 to find out how many teams there are
Answer:
$116.82
Step-by-step explanation:
$99 * 18% = $17.82
^ this is our tax now we need to add it to the total cost of the room ($99)
$99 + $17.82 = $116.82
Answer:
$26.21
Step-by-step explanation:
add the shoes and shirt together and get $19.59 then subtract that to the $25.65
then you will get the remaining amount of money of $5.86.
then do this 20.35-5.86=$26.21
Answer:
-Exponential Decay
-Decay factor is (1-0.05)
Step-by-step explanation:
-Given that the number decreases by a defined rate each year from the initial size by 5%,
-This is an exponential decay function of the form:
Where:
is the quantity/size after time t
is the initial size
is the rate of decay
-Our function can the be written as
Hence, the decay rate/factor is 0.05
#Alternatively
The exponential decay can be of the form:
Where:
y is the size at time x, a is the initial size, x is time and b is the decay factor.
b is of the form 
Hence, the decay factor is (1-0.05)
