The question has an error because the letter g does not make sense in the context.
I will assume that the g is really the number 9.
In that case, the equation to solve would be:

You can solve for x following these steps:
1) make

=>

2) Given that the basis are equal the exponents have to be equal =>
2x = 2(3x - 4)
3) Solve:
2x = 6x - 8
6x - 2x = 8
4x = 8
x = 8/4
x = 2 which is the option B) which leads me to think that a 9 instead of g in the equation should be right.
Under that assumption, the answer is the option B) x = 2.
Answer:
A=24
Step-by-step explanation:
First, we do the equations in the brackets(2x6) which is 12.
Before that, there is a 1/2 which means dividing whatever is inside the brackets by 2 which then becomes 6.
Then we x4 so the answer is 24.
Mean:
21.14
Median:
12
Range:
3
Using the normal distribution, there is a 0.2076 = 20.76% probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3%.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:

- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
- By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportion is approximately normal with mean
and standard deviation
, as long as
and
.
The proportion estimate and the sample size are given as follows:
p = 0.45, n = 437.
Hence the mean and the standard error are:
The probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3% is <u>2 multiplied by the p-value of Z when X = 0.45 - 0.03 = 0.42</u>.
Hence:

By the Central Limit Theorem:

Z = (0.42 - 0.45)/0.0238
Z = -1.26
Z = -1.26 has a p-value of 0.1038.
2 x 0.1038 = 0.2076.
0.2076 = 20.76% probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3%.
More can be learned about the normal distribution at brainly.com/question/28159597
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