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son4ous [18]
3 years ago
15

Your fraction card is 10/10 what are some ways you could move?

Mathematics
1 answer:
devlian [24]3 years ago
6 0

Answer:

  •     10/10 on two tracks ⇒  1/2 + 5/10
  •      10/10 on three tracks ⇒  1/2 + 1/10 + 4/10
  •      10/10 on four tracks ⇒  3/10 + 2/10 + 1/10 + 4/10

Step-by-step explanation:

As 10/10 is the fraction card. We can move it in many ways.

               

  •     10/10 on two tracks ⇒  1/2 + 5/10
  •      10/10 on three tracks ⇒  1/2 + 1/10 + 4/10
  •      10/10 on four tracks ⇒  3/10 + 2/10 + 1/10 + 4/10  

                 

Verification:

  •   10/10 on two tracks ⇒  1/2 + 5/10

                                     As LCM is 10

           <em>10/10 on two tracks ⇒  1/2 + 5/10 = </em><em>(5 + 5)/10 = 10/10</em>

  •   10/10 on three tracks ⇒  1/2 + 1/10 + 4/10

                                     As LCM is 10

            10/10 on three tracks ⇒  1/2 + 1/10 + 4/10  ⇒ (5 + 1 + 4)/10 = 10/10

  •   10/10 on four tracks ⇒  3/10 + 2/10 + 1/10 + 4/10  

                                     As LCM is 10

10/10 on 4 tracks ⇒ 3/10 + 2/10 + 1/10 + 4/10 ⇒ (3 + 2 + 1 + 4)/10 = 10/10

<em>Keywords: fraction      </em>

<em> Learn more about fraction brainly.com/question/381696    </em>

<em> #learnwithBrainly  </em>      

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Answer:

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\mu_{\bar X} = 4.09

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So the best answer for this case would be:

\bar X \sim N (4.09,  \frac{0.08}{\sqrt{16}}= 0.02)

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".

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Solution to the problem

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

X \sim N(4.09,0.08)  

Where \mu=4.09 and \sigma=0.08

We select a sample size of n =16. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

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

\mu_{\bar X} = 4.09

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}= \frac{0.08}{\sqrt{16}}= 0.02

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You come home from Brian’s Orchard with a big brown bag of apples: 23 Granny Smiths, 14 Honey Crisp and 31 Red Delicious. What i
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Answer:

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b. Probability of Pulling 4 Honey Crisp = 0.001797

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Step-by-step explanation:

Given

Granny Smiths = 23

Honey Crisp = 14

Red Delicious = 31

Required

- Probability of Pulling out one of each

- Probability of Pulling out 4 Honey Crisp; 2 Granny Smiths; 1 Red Delicious

First, the total number of apple needs to be calculated.

Total = Granny Smiths + Honey Crisp + Red Delicious

Total = 23 + 14 + 31

Total = 68

Probability of Pulling 1 of each

= P(Granny Smiths) and P(Henry Ford) and P(Red Delicious)

- Granny Smiths;

This is calculated by dividing number of Granny Smiths apples by total number of apples.

Probability = 23/68

Similarly,

Probability of Pulling Honey Crisp= Number of Honey Crisp divided by total

Probability = 14/68

Probability = 7/34

Probability of Pulling Red Delicious = Number of Red Delicious divided by total

Probability = 31/68

So, Probability of Pulling 1 of each = 23/68 * 7/34 * 31/68

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Probability of Pulling out 4 Honey Crisp;

= P(Honey) * P(Honey) * P(Honey) * P(Honey)

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Probability of Pulling 2 Granny Smiths;

= P(Granny) * P(Granny)

= (P(Granny))²

= (23/68)²

= 529/4624

= 0.1144

Probability of 1 Red Delicious

= number of red delicious divided by total

= 31/68

= 0.4559

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Answer:

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<h2>I hope this helps, and stay safe!! :)</h2>
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