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Studentka2010 [4]
3 years ago
9

Solve for x 5(x + 8) = 2x – 7 + 8(x - 1)

Mathematics
1 answer:
coldgirl [10]3 years ago
6 0

Answer:

X equals to -11

Step-by-step explanation:


You might be interested in
Suppose the life of a particular brand of calculator battery is approximately normally distributed with a mean of 75 hours and a
shepuryov [24]

Answer:

a) P(X

And we can find this probability using the normal standard table or excel:

P(z

b) P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

c) z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the life of a particular brand of a population, and for this case we know the distribution for X is given by:

X \sim N(75,10)  

Where \mu=75 and \sigma=10

Part a

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X

And we can find this probability using the normal standard table or excel:

P(z

Part b

P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

Part c

For this case we select a sample size of n =16. and we want this probability:

P(70 < \bar X

We know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can find the z scores for the limits like this:

z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

6 0
3 years ago
If the diameter of a youth softball is 3.5 inches and the diameter of an adult softball is 3.8 inches, what is the approximate d
OleMash [197]

Answer:

6.3 have a good day

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Please answer this correctly
Lostsunrise [7]

Answer:

98.5

Step-by-step explanation:

64.4 x 2= 128.8

325.8-128.8=197.0

197 /2 = 98.5

brainliest plzz

4 0
3 years ago
Read 2 more answers
Find the next three terms of the sequence 3,9,27,81,...
allochka39001 [22]

Answer:

243, 729, 2187

Step-by-step explanation:

Multiply the previous with 3

It's Geometric sequence

Brainliest please~

3 0
3 years ago
A ping pong ball is drawn at random from an urn consisting of balls numbered 2 through 10. A player wins 1 dollar if the number
choli [55]

Answer:

The expected value is defined as:

EV = ∑xₙ*pₙ

Where xₙ represents the n-th event, and pₙ is the probability of that event.

Now, the events are:

The possible outcomes are: {2, 3, 4, 5, 6, 7, 8, 9, 10} 9 in total.

Winning $1, when the number is odd. The outcomes in this case are: {3. 5. 7. 9}

4 out of 9, then the probability is p = 4/9.

Lossing $1 when the number is even. The outcomes in this case are {2, 4, 6, 8, 10}

5 out of 9, the probability is p = 5/9.

Then the expected value is:

EV = (4/9)*$1 - (5/9)*$1 = (-1/9)*$1  = -$0.11...

4 0
4 years ago
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