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Lady_Fox [76]
3 years ago
7

What is the solution to 4^(log4(x+8))=4^2x=-8x=-4x=4x=8

Mathematics
2 answers:
hodyreva [135]3 years ago
6 0

Answer:

x=8

Step-by-step explanation:

Use the main property of logarithms:

a^{\log_ab}=b.

Then 4^{\log_4(x+8)}=x+8.

Now the equation takes look

x+8=4^2,\\ \\x+8=16,\\ \\x=16-8,\\ \\x=8.

Check whether x=8 is the solution:

4^{\log_4(8+8)}=4^{\log_416}=4^{\log_44^2}=4^{2\log_44}=4^{2\cdot 1}=4^2=16.

miss Akunina [59]3 years ago
3 0
Hi there! The answer is x = 8.

{4}^{ log_{4}(x + 8) }  =  {4}^{2}
Let's solve this equation step by step!


First we use the following rule.
{g}^{a}  =  {g}^{b}  \\ a = b
which basically means that an exponential equation with the same base on both sides of the equation must also have the same exponents.

We get the following.
log_{4}(x + 8)  = 2

Now we use the following rule for logarithms.
log_{a}(x)  = b \\ x =  {a}^{b}

When we apply this rule in our eqiation, we end up with the following.
x + 8 =  {4}^{2}

Now we only need to do some basic math, work out the exponents first.
x + 8 = 16

Subtract 8.
x = 8

~ Hope this helps you!


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The probability of flu symptoms for a person not receiving any treatment is 0.038. In a clinical trial of a common drug used to
alexgriva [62]

Answer:

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 1164, p = 0.038

So

\mu = E(X) = np = 1164*0.038 = 44.232

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = 6.5231

Estimate the probability that at least 47 people experience flu symptoms.

Using continuity correction, this is P(X \geq 47 - 0.5) = P(X \geq 46.5), which is 1 subtracted by the pvalue of Z when X = 46.5.

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

Z = \frac{46.5 - 44.232}{6.5231}

Z = 0.35

Z = 0.35 has a 0.6368

1 - 0.6368 = 0.3632

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

6 0
2 years ago
Note: Enter your answer and show all the steps that you use to solve this problem in the space provided. Use the circle graph sh
mel-nik [20]

Answer: 500 people

Step-by-step explanation:

Let there are x people in the survey.

According to the question,

People who like football as their favorite sports = 42 % of x = 0.42 x

People who like baseball as their favorite sports = 33 % of x = 0.33 x

People who like soccer as their favorite sports = 25 % of x = 0.25 x

But, 210 people said football was their favorite sport.

⇒ 0.42 x = 210

⇒ 42 x = 21000

⇒ x = 500

Therefore, there are 500 people in the survey.


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