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Citrus2011 [14]
3 years ago
8

X+1.793=2.42

Mathematics
1 answer:
Varvara68 [4.7K]3 years ago
4 0
The right answer is
0.627
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In ATUV, the measure of V=90°, TU = 5.4 feet, and VT = 1.6 feet. Find the measure
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Answer:73

Step-by-step explanation:

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4 years ago
HELP. WILL MARK BRAINLIEST
gladu [14]
4y+5=4y-6 doesn't have a solution because you need to subtract 4y from both sides so you do 4y+5-4y=4y-6-4y so 5= -6 and then you subtract 5 from both sides which is 5-5=-6-5 and 0=-11.
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4 years ago
Read 2 more answers
A vending machine automatically pours soft drinks into cups. The amount of soft drink dispensed into a cup is normally distribut
labwork [276]

Answer:

a) P(X>8)=P(\frac{X-\mu}{\sigma}>\frac{8-\mu}{\sigma})=P(Z>\frac{8-7.6}{0.4})=P(Z>1)

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

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

b)P(X

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

P(Z

c) For this case we have a total of 868 cups and we know that the fraction of cups that will be overflow is 0.159, so then the expected number of cups overflow would be:

N = 868*0.159= 138.012 \approx 138

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".  

Part a

Let X the random variable that represent the amount of soft frink of a population, and for this case we know the distribution for X is given by:

X \sim N(7.6,0.4)  

Where \mu=7.6 and \sigma=0.4

We are interested on this probability

P(X>8)

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>8)=P(\frac{X-\mu}{\sigma}>\frac{8-\mu}{\sigma})=P(Z>\frac{8-7.6}{0.4})=P(Z>1)

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

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

Part b

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 standard normal table or excel:

P(Z

Part c

For this case we have a total of 868 cups and we know that the fraction of cups that will be overflow is 0.159, so then the expected number of cups overflow would be:

N = 868*0.159= 138.012 \approx 138

6 0
4 years ago
ASAP! GIVING BRAINLIEST! Please read the question THEN answer correctly! No guessing. Show your work or give an explaination.
Romashka-Z-Leto [24]

Answer:

C

Step-by-step explanation:

y = -f(x) is the reflection about the x-axis of the graph y = f(x).

3 0
3 years ago
A number has the digits 0,
Crank
The number you’re looking for is 570
3 0
4 years ago
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