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3 years ago

For the given expression, use the Commutative Property of Addition to enter an equivalent expression.

Mathematics

1 answer:

Triss [41]3 years ago

3 0

Answer:

x+19=19+x

Step-by-step explanation:

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Debbie needs to fill juice cups for her little brother's birthday party. There are 20 juice cups and each juice cup holds 10 flu

Orlov [11]

1 gallon = 4 qts

1 qt = 32 fl. ounces

so 32 x 4 = 128 fl. ounce in a gallon

20 cups at 10 ounces each = 20*10 = 200 ounces needed

200/128 = 1.5625 gallons needed

she will need to buy 2 bottles

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3 years ago

musickatia [10]

The answer is C. $7.65! Hope this helps(:

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3 years ago

A red, a green, and a pink backback are hanging on hooks in the ckassroom. The total weight of the three backpacks is 32 pounds.

Savatey [412]

We know there are 3 backpacks. So when we add the known values 9 3/4 and 1 3/4, we get 11 1/2. So 32- 11 1/2 will give you the pink backpack weight which is 20 and 1/2 pounds.

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4 years ago

How does one solve for the n+1st term with the nth term of a sequence

love history [14]

Answer:

<h3>The answer is option B</h3>

Step-by-step explanation:

The nth term of the sequence is

A(n) = 5n + 7

To find the (n+1)st term substitute n+1 into the general equation

That's

<u>For (n + 1)st term</u>

A(n+1) = 5(n+ 1) + 7

A(n+1) = 5n + 5 + 7

Hope this helps you

4 0

3 years ago

Read 2 more answers

Assume that thermometer readings are normally distributed with a mean of degrees and a standard deviation of 1.00degrees C. A th

Andrew [12]

Answer:

0.2684 is the probability that the temperature reading is between 0.50 and 1.75.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 0 degrees

Standard Deviation, σ = 1 degrees

We are given that the distribution of thermometer readings is a bell shaped distribution that is a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

P(Between 0.50 degrees and 1.75 degrees)

$P(0.50 \leq x \leq 1.75)\\\\ = P(\displaystyle\frac{0.50 - 0}{1} \leq z \leq \displaystyle\frac{1.75-0}{1})\\\\ = P(0.50 \leq z \leq 1.75)\\= P(z \leq 1.75) - P(z < 0.50)\\= 0.9599 - 0.6915 = 0.2684 = 26.84\%$

0.2684 is the probability that the temperature reading is between 0.50 and 1.75.

7 0

4 years ago