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Tasya [4]
3 years ago
13

louis and valentina have 60 toys to build louis builds 1/2of the toys while valentina builds 2/5 how many toys are left

Mathematics
2 answers:
vodka [1.7K]3 years ago
7 0

Answer:

6

Step-by-step explanation:

1/2 = 0.5

2/5 = 0.4

60 × 0.5 = 30

60 × 0.4 = 24

30 + 24 = 54

60 - 54 = <u>6</u>

yan [13]3 years ago
3 0

Answer:

6

Step-by-step explanation:

Louis build 1/2 of the toy and the total of the toy is 60

Which means

1/2×60=30

Valentina build 2/5 toy

2/5×60

120/5

24

So to determine the amount left

It will be

Total-(Louis+Valentina)

60-(30+24)

60-(54)

60-54

6

So the amount left is 6

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Drew has more than 4 times as many baseball cards as mark. Katie has fewer than half as many cards as mark. Mark has m baseball
Sphinxa [80]

Answer:

Cards with Mark = 30

Cards with Drew  = 120

Cards with Katie = 12

Step-by-step explanation:

The complete question is

Drew has 4 times as many baseball cards as Mark. Katie has 3 fewer than than half as many cards  as Mark. In all they have 162 baseball cards. How many does each have?

Solution -

Let the number of cards with Mark be "X"

Number of cards with Drew = 4 *X = 4X

Number of Cards with Katies = 0.5 X -3

Sum of all the cards is equal to 162

X+4X + 0.5 X -3 = 162

5.5 X = 165

X = 30

Cards with Mark = 30

Cards with Drew = 4 * 30 = 120

Cards with Katei = 15-3 = 12

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3 years ago
Guess a number between 1-3 whoever gets it gets brainliest
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I guess the number 3
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3 years ago
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Suppose your​ friend's parents invest $ 10,000 in an account paying 7 % compounded annually. What will the balance be after 5 ​y
Alik [6]
You use the formula Interest=principle (rate) time or i=prt. If you use that formula to solve, your answer will be 3,500. After five years, the balance will be $3,500. 

PLEASE MARK AS BRAINLIEST!
7 0
3 years ago
Round 104229 to the nearest ten thousand
saul85 [17]
That is a one hundred thousand number. To round it you need to know this: 5 or more make it go up (make it the next number. For example: 19,530. It would be rounded to 20,000 because of the 5) 4 or less let it be (EXAMPLE : 8,213. It would be 8,000. Because of the 4.) 

Then you need to find the ten thousand. In this case it is the 0. (104,229) Then you round it off to 100,000. The answer is 100,000.
3 0
4 years ago
A cola-dispensing machine is set to dispense 8 ounces of cola per cup, with a standard deviation of 1.0 ounce. The manufacturer
pshichka [43]

Answer:

Step-by-step explanation:

Hello!

The variable of interest is X: ounces per cup dispensed by the cola-dispensing machine.

The population mean is known to be μ= 8 ounces and its standard deviation σ= 1.0 ounce. Assuming the variable has a normal distribution.

A sample of 34 cups was taken:

a. You need to calculate the Z-values corresponding to the top 5% of the distribution and the lower 5% of it. This means you have to look for both Z-values that separates two tails of 5% each from the body of the distribution:

The lower value will be:

Z_{o.o5}= -1.648

You reverse the standardization using the formula Z= \frac{X[bar]-Mu}{\frac{Sigma}{\sqrt{n} } } ~N(0;1)

-1.648= \frac{X[bar]-8}{\frac{1}{\sqrt{34} } }

X[bar]= 7.72ounces

The lower control point will be 7.72 ounces.

The upper value will be:

Z_{0.95}= 1.648

1.648= \frac{X[bar]-8}{\frac{1}{\sqrt{34} } }

X[bar]= 8.28ounces

The upper control point will be 8.82 ounces.

b. Now μ= 7.6, considering the control limits of a.

P(7.72≤X[bar]≤8.28)= P(X[bar]≤8.28)- P(X[bar]≤7.72)

P(Z≤(8.28-7.6)/(1/√34))- P(Z≤7.72-7.6)/(1/√34))

P(Z≤7.11)- P(Z≤0.70)= 1 - 0.758= 0.242

There is a 0.242 probability of the sample means being between the control limits, this means that they will be outside the limits with a probability of 1 - 0.242= 0.758, meaning that the probability of the change of population mean being detected is 0.758.

b. For this item μ= 8.7, the control limits do not change:

P(7.72≤X[bar]≤8.28)= P(X[bar]≤8.28)- P(X[bar]≤7.72)

P(Z≤(8.28-8.7)/(1/√34))- P(Z≤7.72-8.7)/(1/√34))

P(Z≤-2.45)- P(Z≤-5.71)=0.007 - 0= 0.007

There is a 0.007 probability of not detecting the mean change, which means that you can detect it with a probability of 0.993.

I hope it helps!

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3 years ago
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