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weqwewe [10]
2 years ago
12

Henry went to the store with $25.00 and returned home with 3 gallons of ice

Mathematics
1 answer:
statuscvo [17]2 years ago
5 0
Each gallon cost $6.23.

Explanation:
25-6.31=18.69
He spent $18.69 at the store since he has $6.31 left out of the $25 he originally had

He brought 3 gallons with an equal price each gallon so
18.69/3=6.23

He spent $6.23 on each gallon
You might be interested in
Is 4y - 8 > 10 true?
steposvetlana [31]

4y-8>10

Add 8

4y-8+8>10+8

4y>18

Now divide both sides by 4

4y/4 > 18/4

y>9/2


Now let's see if it will be true

Replace y by its value

4(9/2)-8>10

36/2 -8 > 10

18-8 > 10

10 > 10

That's false because 10 can not smaller than 10

so it should be = instead


Answer : False


I hope that's help:)

7 0
3 years ago
Solve the following equation |x – 3| = 4. Show all work.
Igoryamba
<h2>Solving Equations with Absolute Values</h2><h3>Answer:</h3>

x = 7 and x = -1

<h3>Step-by-step explanation:</h3>

Solving for the Positive Absolute Value:

|x -3| = 4 \\ x -3 = 4 \\ x -3 +3 = 4 +3 \\ x = 7

Solving for the Negative Absolute Value:

|x -3| = 4 \\ -(x -3) = 4 \\ -(x -3) \cdot -1 = 4 \cdot -1 \\ x -3 = -4 \\ x -3 +3 = -4 +3 \\ x = -1

8 0
3 years ago
Read 2 more answers
I apologize for all the questions I asked ​
Paul [167]

Answer:

Step-by-step explanation:

It's not clear but yeah it's fine if you ask a lot cause everytime I see this I know it's you :)

3 0
3 years ago
144 flowers in a vase the ratio of yellow to pink flowers is 5 to 6 how many yellow flowers are in the vase
azamat

\frac{5}{11}  \times 144 \: is \: the \: amount \: of \: yellow \: flowers \\  \\  \frac{5}{11}  \times 144 = 65.45 = 65
therfore there is 65 yellow flowers
4 0
3 years ago
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 144 millimeters,
valentinak56 [21]

Answer:

The probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.

Step-by-step explanation:

According to the Central Limit Theorem if we have a population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample  means will be approximately normally distributed.

Then, the mean of the distribution of sample mean is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample mean  is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

<em>μ</em> = 144 mm

<em>σ</em> = 7 mm

<em>n</em> = 50.

Since <em>n</em> = 50 > 30, the Central limit theorem can be applied to approximate the sampling distribution of sample mean.

\bar X\sim N(\mu_{\bar x}=144, \sigma_{\bar x}^{2}=0.98)

Compute the probability that the sample mean would differ from the population mean by more than 2.6 mm as follows:

P(\bar X-\mu_{\bar x}>2.6)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}} >\frac{2.6}{\sqrt{0.98}})

                           =P(Z>2.63)\\=1-P(Z

*Use a <em>z</em>-table for the probability.

Thus, the probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.

8 0
2 years ago
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