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3 years ago

4.50s+1.50p(3)=36.......

Mathematics

1 answer:

hichkok12 [17]3 years ago

5 0

Answer:

4.5

Step-by-step explanation:

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This is one question. Algebra 2 transformations

Talja [164]

Answer:

End result is ln(-x) + 1

Step-by-step explanation:

1, ln x + 2

2. ln(x + 2) + 2

3. ln(x + 2 - 2) + 2 = ln x + 2

4. ln x + 1

5. ln(-x) + 1

8 0

2 years ago

Read 2 more answers

10 divided by 12 yeah

padilas [110]

Answer:

10 divided by 12 equals 0.833333333

8 0

3 years ago

Bishwant and sunayana cimplete a oiece of a work in 6 days working together.if bishwant alime can complete it n 10 days.in how m

alina1380 [7]

Step-by-step explanation:

sunaina's alona work=

1/6-1/10

10-6/60

4/60

1/15

therefore sunaina can alone do the work in 15 days

4 0

2 years ago

HELP ME PLZ<br> (50 POINTS)

Bogdan [553]

<h3>♫ - - - - - - - - - - - - - - - ~Hello There!~ - - - - - - - - - - - - - - - ♫</h3>

➷ The formula for circumference is $\pi d$

1) $\pi d = 31.4$

Divide both sides by $\pi$

d = 9.99 (consider this to be 10)

Half this to find the radius

10/2 = 5

It would be figure B.

2) $\pi d = 37.68$

Divide both sides by $\pi$ :

d = 11.99 (consider this to be 12)

Divide by 2 to find the radius:

12/2 = 6

It would be figure C.

3) area = $\pi r^2$

$\pi r^2 = 153.86$

r^2 = 48.97515909

r = 6.998 (consider this to be 7)

It would be figure D

4) $\pi r^2 = 113.04$

r^2 = 35.98174

r = 5.998 (consider this to be 6)

It would be figure C.

5) radius = diameter / 2

radius = 3

$\pi (3)^2 = 28.27433$

It would be option C

➶ Hope This Helps You!

➶ Good Luck (:

➶ Have A Great Day ^-^

↬ ʜᴀɴɴᴀʜ ♡

3 0

2 years ago

Read 2 more answers

A food processor packages orange juice in small jars. The weights of the filled jars are approximately normally distributed with

Ratling [72]

Answer:

$P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)$

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

$P(z>1.61)=1-P(z$

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 weights of a population, and for this case we know the distribution for X is given by:

$X \sim N(10.5,0.3)$

Where $\mu=10.5$ and $\sigma=0.3$

We are interested on this probability

$P(X>10.983)$

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:

$P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)$

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

$P(z>1.61)=1-P(z$

8 0

3 years ago

4.50s+1.50p(3)=36.......​

4.50s+1.50p(3)=36.......