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ICE Princess25 [194]
3 years ago
6

Which expression is equal to 48 + 72?

Mathematics
2 answers:
natita [175]3 years ago
8 0

24(2+3)= 48 + 72 = 120

Hence, A is the answer

S_A_V [24]3 years ago
5 0

Answer:

A

Step-by-step explanation:

I did the math and i have no doubt

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After going through all of your expenses for the month, you can up with the expression -2(x+3) – 5(2x – 7). Simplify the express
svlad2 [7]

Answer:

-12x+29

Step-by-step explanation:

= -2(x+3) – 5(2x – 7)

= -2(x)+(-2)(3)-5(2x)-5(-7)

= -2x-6-10x+35

= -2x-10x-6+35

= -12x+29

7 0
3 years ago
Read 2 more answers
How many ways can nine trophies be arranged on a shelf​
irga5000 [103]

Answer:

it depends on the shelf

Step-by-step explanation:

6 0
3 years ago
Suppose the horses in a large stable have a mean weight of 975lbs, and a standard deviation of 52lbs. What is the probability th
Lubov Fominskaja [6]

Answer:

0.8926 = 89.26% probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 975, \sigma = 52, n = 31, s = \frac{52}{\sqrt{31}} = 9.34

What is the probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable?

pvalue of Z when X = 975 + 15 = 990 subtracted by the pvalue of Z when X = 975 - 15 = 960. So

X = 990

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{990 - 975}{9.34}

Z = 1.61

Z = 1.61 has a pvalue of 0.9463

X = 960

Z = \frac{X - \mu}{s}

Z = \frac{960 - 975}{9.34}

Z = -1.61

Z = -1.61 has a pvalue of 0.0537

0.9463 - 0.0537 = 0.8926

0.8926 = 89.26% probability that the mean weight of the sample of horses would differ from the population mean by less than 15lbs if 31 horses are sampled at random from the stable

7 0
3 years ago
A tailor pays $10.25 per yard for wool and pays $5.75 per yard for cotton. He bought 4.8 yards of cotton and spent a total of $8
Alex777 [14]

Answer:

cotton and wool

Step-by-step explanation:

7 0
3 years ago
Please help with this question!! HELP ASAP!!
Anastaziya [24]

Answer:

DG is 8.75.

Step-by-step explanation:

Because we have an isosceles triangle with a perpendicular bisector, we have two identical triangles which share equal sides. We know DF is 14 and FG is 4x. These are corresponding sides and we set them equal.

4x=14

x= 3.5.

We also know DE=EG and that DE=1.25x.

We substitute this term and x=3.5.

1.25x=EG

1.25(3.5)=EG

EG is 4.375.

We double 4.375 to find the whole segment DG since they are equal halves. DG is 8.75.


3 0
3 years ago
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