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2 years ago

Joe has a bag of 24 pieces of candy. He gives 1/8 of them to a friend,

Mathematics

2 answers:

kobusy [5.1K]2 years ago

8 0

Answer:

18 pieces.

Step-by-step explanation:

1/8 of 24 is 3.

24 - 3 = 21, that's how much he has left after giving it to the first friend.

1/7 of 21 is also 3.

21 - 3 = 18, there's your answer.

True [87]2 years ago

4 0

Answer:

Step-by-step explanation:

1/8 of 24 is 3 = 21

1/7 of 21 is 3 = 18

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The amounts of nicotine in a certain brand of cigarette are normally distributed with a mean of 0.917 g and a standard deviation

Nutka1998 [239]

Answer:

$z = \frac{0.872-0.917}{\frac{0.303}{\sqrt{37}}}= -0.903$

And we can find this probability to find the answer:

$P(z$

And using the normal standar table or excel we got:

$P(z$

Step-by-step explanation:

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

$X \sim N(0.917,0.303)$

Where $\mu=0.917$ and $\sigma=0.303$

We have the following info from a sample of n =37:

$\bar X= 0.872$ the sample mean

And we want to find the following probability:

$P(\bar X \leq 0.872)$

And we can use the z score formula given by;

$z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}$

And if we find the z score for the value of 0.872 we got:

$z = \frac{0.872-0.917}{\frac{0.303}{\sqrt{37}}}= -0.903$

And we can find this probability to find the answer:

$P(z$

And using the normal standar table or excel we got:

$P(z$

6 0

3 years ago

Find the mean of 100

goldfiish [28.3K]

Answer:

100.

Step-by-step explanation:

100 + 0 = 100

100 ÷ 1 = 100

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2 years ago

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SCORPION-xisa [38]

Answer:

send the pic...........

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2 years ago

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slava [35]

Answer:

Step-by-step explanation:

7 0

3 years ago

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An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation a

Amiraneli [1.4K]

Answer:

Following are the responses to the given question:

Step-by-step explanation:

Mean Absolute Deviation MAD

$MAD = \sum_{i=1}^{n} \frac{\left | actual_{i}-forecast_{i} \right |}{n}$

Mean squared error

$MSE=\Sigma^{n}_{i=1} \frac{(Actual_i - Forecast_i)^2}{(n - 1)}$

linear trend equation is $Ft = 124 + 2t$

$MAD = \frac{23}{10} = 2.3\\\\MSE = \frac{91}{9}= 10.11\\\\$

Naive method

$MAD = \frac{36}{9} = 4\\\\MSE = \frac{202}{8}=25.25\\\\MAD (Naive) = 4\\\\MAD (Linear) =2.3\\\\MSE (Naive)=25.25\\\\MSE (Linear)=10.11\\\\$

Please find the attached file.

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3 years ago