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Dima020 [189]
3 years ago
11

You are in charge of decorating your gym for a home coming dance. You bought 6 bags of balloons and 5 bags of sparkling balloons

for 19.20$. But you realize this is not enough. Than you buy 8 bags of balloons and 2 bags of sparkling stars for 15.80$. What was the price for each item
.
Mathematics
1 answer:
AfilCa [17]3 years ago
6 0

Answer:

I believe your answer would be 8 dollars and 75 cents. I don't know for sure.

Step-by-step explanation:


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Please help me with this
juin [17]

Answer:

10π (31.415926)

√101(10.0498756)

9.92749...

0.99853...

Step-by-step explanation:

For 10π, we can simplify π into 3.14 for an approximate amount. 3.14*10=31.4

For the square root of ten, we can estimate it's between 10 and 11 since 10 squared is 100 and 11 squared is 121.

6 0
2 years ago
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Elena L [17]

Answer: C {3, 4}

Step-by-step explanation:

<em>Solve the inequality:</em>

7x + 6 > 20

7x > 20 - 6

7x > 14

x > 2

Only 3 and 4 are greater than 2.

7 0
3 years ago
Match the following items.
Margarita [4]

1. Commutative property of adfition

2. Multiplicative inverse

3. Associative property of addition

4. Distributive property

5. Additive identity

8 0
3 years ago
Read 2 more answers
BRAINLIEST!! LOTS of POINTS
zubka84 [21]

Answer:

-0.2

Step-by-step explanation:

6 0
3 years ago
Weights were recorded for all nurses at a particular hospital, the mean weight for an individual nurse was 135 lbs. with a stand
Aloiza [94]
Given:
population mean, &mu; =135
population standard deviation, &sigma; = 15
sample size, n = 19

Assume a large population, say > 100,
we can reasonably assume a normal distribution, and a relatively small sample.
The use of the generally simpler formula is justified.

Estimate of sample mean
\bar{x}=\mu=135

Estimate of sample standard deviation
\s=\sqrt{\frac{\sigma^2}{n}}
=\sqrt{\frac{15^2}{19}}=3.44124  to 5 decimal places.

Thus, using the normal probability table,
P(125
=P(\frac{125-135}{3.44124}
=P(-2.90593
=P(Z
=P(Z

Therefore 
The probability that the mean weight is between 125 and 130 lbs 
P(125<X<130)=0.0731166-0.0018308
=0.0712858



3 0
3 years ago
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