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3 years ago

Please Help !!!!!!!!!!!

Mathematics

2 answers:

Alex17521 [72]3 years ago

8 0

The answer you are looking for is B.

pogonyaev3 years ago

6 0

Answer:

Step-by-step explanation:

Since the dot is not filled we can already take away c and d becuase it will not be equal to 2.

Next lets see which way its going.

The arrow goes right so it would be x>2

The answer that gives you that would be b.

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How to solve 4(7-3x)=7(4-2x)

Colt1911 [192]

Answer:

Step-by-step explanation:

First, you distribute the 4 and 7 to the stuff inside the parentheses 28 - 12x = 28 - 14x then add 28 to both sides -12x = -14x then add 14x to both sides 2x = 0 then divide both sides by 2 x = 0

6 0

3 years ago

Read 2 more answers

An acidophilus culture containing 150 bacteria doubles in population every hour. predict the number of bacteria in 12 hours

Diano4ka-milaya [45]

The number of bacteria that will exist in 12 hours is 614,400.

8 0

4 years ago

Factor the expression.

diamong [38]

(8y+3) (y+2)
Ohh and this answer is in factored form

5 0

3 years ago

What is the excluded value?<br><br> 0<br><br> 1/2<br><br> 1

nekit [7.7K]

Answer:

excluded value is 1/2

Step-by-step explanation:

The excluded value is the value when the denominator is equal to zero

1 -2x =0

Subtract 1 from each side

-2x = -1

Divide by -2

-2x/-2 = -1/-2

x = 1/2

The excluded value is 1/2

7 0

3 years ago

Suppose 45% of the population has a college degree.

levacccp [35]

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 $\mu$ and standard deviation $\sigma$ is given by:

$Z = \frac{X - \mu}{\sigma}$

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 $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1 - p)}{n}}$ , as long as $np \geq 10$ and $n(1 - p) \geq 10$ .

The proportion estimate and the sample size are given as follows:

p = 0.45, n = 437.

Hence the mean and the standard error are:

$\mu = p = 0.45$

$s = \sqrt{\frac{p(1 - p)}{n}} = \sqrt{\frac{0.45(0.55)}{437}} = 0.0238$

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:

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem:

$Z = \frac{X - \mu}{s}$

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

#SPJ1

8 0

2 years ago