4(x-2)=-72
Multiply the bracket by 4
(4)(x)(4)(-2)=-72
4x-8=-72
Move -8 to the other side. Sign changes from -8 to +8.
4x-8+8=-72+8
4x=-64
Divide by 4 for both sides.
4x/4=-64/4
x=-16
Answer : x=-16
Answer:
-13b
Step-by-step explanation:
(2b^2 - 5b) - (7b + 3b^2)
-3b^2 - 10b^2 = -13b
Answer:

Step-by-step explanation:
A set of normally distributed data has a mean of 3.2 and a standard deviation of 0.7. Find the probability of randomly selecting 30 values and obtaining an average greater than 3.6.
We can denote the population mean with the symbol 
According to the information given, the data have a population mean:
.
The standard deviation of the data is:
.
Then, from the data, a sample of size
is taken.
We want to obtain the probability that the sample mean is greater than 3.6
If we call
to the sample mean then, we seek to find:

To find this probability we find the Z statistic.

Where:
Where
is the standard deviation of the sample



Then:

The probability sought is: 
When looking in the standard normal probability tables for right tail we obtain:

If you do in fact mean
(as opposed to one of these being the derivative of
at some point), then integrating twice gives



From the initial conditions, we find


Eliminating
, we get


![C_1 = -\dfrac{\ln(6)}5 = -\ln\left(\sqrt[5]{6}\right) \implies C_2 = \ln\left(\sqrt[5]{6}\right)](https://tex.z-dn.net/?f=C_1%20%3D%20-%5Cdfrac%7B%5Cln%286%29%7D5%20%3D%20-%5Cln%5Cleft%28%5Csqrt%5B5%5D%7B6%7D%5Cright%29%20%5Cimplies%20C_2%20%3D%20%5Cln%5Cleft%28%5Csqrt%5B5%5D%7B6%7D%5Cright%29)
Then
![\boxed{f(x) = \ln|x| - \ln\left(\sqrt[5]{6}\right)\,x + \ln\left(\sqrt[5]{6}\right)}](https://tex.z-dn.net/?f=%5Cboxed%7Bf%28x%29%20%3D%20%5Cln%7Cx%7C%20-%20%5Cln%5Cleft%28%5Csqrt%5B5%5D%7B6%7D%5Cright%29%5C%2Cx%20%2B%20%5Cln%5Cleft%28%5Csqrt%5B5%5D%7B6%7D%5Cright%29%7D)
Answer: 0.0433
Step-by-step explanation:
Given: Sample size : n= 133
The number of females in sample = 65
Then the proportion of females : 
The formula to calculate the standard error of the proportion is given by :-


Hence, the standard error of the proportion of females is 0.0433.