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Zina [86]
3 years ago
13

Carly is buying deli meat for her lunches this week. Turkey is on sale for $5.80 per pound. If Carly buys 1.25 pounds of turkey,

how much money does she spend?
Mathematics
2 answers:
alisha [4.7K]3 years ago
8 0

Answer:

Carly will have to spend $7.25

Step-by-step explanation:

We know that:

1 pound of turkey = $5.80

To find how much 1.25 pounds of turkey will cost, multiply:

5.80 x 1.25 = 7.25

Therefore, 1.25 pounds of turkey will cost $7.25

I really hope this helps!

-SpaceMarsh

kati45 [8]3 years ago
5 0
6.03 i believe , she gets one pound which equals to 5.80 and .25 more if you divide 5.80 with .25 you get .23 adding 5.80 with .23 equals $6.03
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Sholpan [36]

Answer:

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Step-by-step explanation:

12(5+2y)=4y-(5-9y

60+24y=4y-5-9y

60+24y=-5y-5

29y+60=-5

29y=-65

y=-65/29 or y= about -2.38

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devlian [24]

4300( 4308.08)

Your welcome

So all you have to do is multiply the radius by itself. So in this case 14x14=196.

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3 years ago
marlee spins a spinner and rolls 1-6 # cube. the spinner has 5 equal parts # 1-5 . what is the probability she will spin an even
forsale [732]
The events are independant (i.e. what she rolls on the cube has no impact on how the spinner works). The probability of two independant events is given by: 

P_t = P_{cube} \times P_{spin}

For the cube, 1/2 the numbers meet our requitment of being even, so:
P_{cube} = \frac{Desired}{Total} = \frac{even}{total} = \frac{3}{6} =\frac{1}{2}

For the spinner, there are 3 odds out of 5 (1, 3 & 5) so:
P_{spin} =\frac{Desired}{Total} = \frac{odd}{total} = \frac{3}{5}

and then:
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4 years ago
A simple random sample of size nequals81 is obtained from a population with mu equals 83 and sigma equals 27. ​(a) Describe the
Ivanshal [37]

Answer:

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

With:

\mu_{\bar X}= 83

\sigma_{\bar X}=\frac{27}{\sqrt{81}}= 3

b) z= \frac{89-83}{\frac{27}{\sqrt{81}}}= 2

P(Z>2) = 1-P(Z

c) z= \frac{75.65-83}{\frac{27}{\sqrt{81}}}= -2.45

P(Z

d) z= \frac{89.3-83}{\frac{27}{\sqrt{81}}}= 2.1

z= \frac{79.4-83}{\frac{27}{\sqrt{81}}}= -1.2

P(-1.2

Step-by-step explanation:

For this case we know the following propoertis for the random variable X

\mu = 83, \sigma = 27

We select a sample size of n = 81

Part a

Since the sample size is large enough we can use the central limit distribution and the distribution for the sampel mean on this case would be:

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

With:

\mu_{\bar X}= 83

\sigma_{\bar X}=\frac{27}{\sqrt{81}}= 3

Part b

We want this probability:

P(\bar X>89)

We can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we find the z score for 89 we got:

z= \frac{89-83}{\frac{27}{\sqrt{81}}}= 2

P(Z>2) = 1-P(Z

Part c

P(\bar X

We can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we find the z score for 75.65 we got:

z= \frac{75.65-83}{\frac{27}{\sqrt{81}}}= -2.45

P(Z

Part d

We want this probability:

P(79.4 < \bar X < 89.3)

We find the z scores:

z= \frac{89.3-83}{\frac{27}{\sqrt{81}}}= 2.1

z= \frac{79.4-83}{\frac{27}{\sqrt{81}}}= -1.2

P(-1.2

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Answer:

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b _ 33 × 7 / 21000= 11 months

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