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xxTIMURxx [149]
3 years ago
5

7x2–5 - 28-3+5.

Mathematics
2 answers:
malfutka [58]3 years ago
6 0

I can't read, sorry.

Vladimir79 [104]3 years ago
3 0

Answer:

-17

Step-by-step explanation:

PEMDAS

7*2 = 14

14-5 = 9

9-28 = -19

-19-3 = -22

-22 + 5 = -17

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Find the value of x ANSWER IS NOT
gulaghasi [49]

Answer:

x = 11√2

Step-by-step explanation:

We can notice the triangle given is a special triangle, a 45°- 45°- 90° triangle. The hypotenuse of a 45°- 45°- 90° is √2 times the length of a side. We can set up the equation(using x as the side):

x * √2  = 22

We can divide by √2 on both sides to get:

x = 22 / √2

To rationalize the denominator, we multiply by √2 / √2 on the right side:

x = 22√2 / 2

This simplifies to:

x = 11√2

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2 years ago
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at McDonalds a cheese burger, c, has 200 fewer calories that a large fry, f. two cheeseburgers and a large fry have 1100 calorie
lora16 [44]

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700 more caleries

Step-by-step explanation:

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3 years ago
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When a principal amount, P, is invested at an annual interest rate,r, and compounded n times per
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2

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The area of the base is 34 cm². The height is 7 cm. What is the volume.
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Step-by-step explanation:

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3 years ago
A sample of size 6 will be drawn from a normal population with mean 61 and standard deviation 14. Use the TI-84 Plus calculator.
AVprozaik [17]

Answer:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean  is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

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".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Solution to the problem

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

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean \bar X is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

8 0
3 years ago
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