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CaHeK987 [17]
4 years ago
12

What is another way to write -3 x (4 + 7)

Mathematics
2 answers:
arsen [322]4 years ago
8 0

-3 x (7+4)

(7+4) x -3

Nataliya [291]4 years ago
6 0

You could wirte is as:

-3 x 11 or 11 x -3 or (4+7) x -3


Hope it helped,


BioTeacher101

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Need help please thank you if you help
Alexus [3.1K]

Answer:

1) 3\f\frac{2}{3}=2\\2) x\frac{x}{18} =18\\3)12\frac{12}{y}=y \\4)x\frac{x}{6} =6

7 0
3 years ago
An airplane has 100 seats for passengers. Assume that the probability that a person holding a ticket appears for the flight is 0
zmey [24]

Answer:

96.33% probability that everyone who appears for the flight will get a seat

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 105, p = 0.9

So

\mu = E(X) = np = 105*0.9 = 94.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{105*0.9*0.1} = 3.07

What is the probability that everyone who appears for the flight will get a seat

100 or less people appearing to the flight, which is the pvalue of Z when X = 100. So

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

Z = \frac{100 - 94.5}{3.07}

Z = 1.79

Z = 1.79 has a pvalue of 0.9633

96.33% probability that everyone who appears for the flight will get a seat

7 0
3 years ago
I have 12 coins x of them are R5 coins and the rest are R1 coins. An expression in the in terms of x for the number of R1 coins
Marrrta [24]

Answer:

ans= 12-x=r1 coin...

Step-by-step explanation:

hope u can do..

7 0
3 years ago
At Harry's discount hardware everything is sold for 20 percent less than the price marked. If Harry buys tool kits for $80,what
ICE Princess25 [194]

Answer:

$120.

Step-by-step explanation:

The amount he sells the tool kit for  = 80 + 20% of 80

= 80 + 16

= $96.

Let m be the marked price, then

m - 0.20m = 96

0.8m = 96

m = $120.

5 0
3 years ago
(This is literally 7th grade math dude should be easy for most of you)
Korolek [52]

Answer:

a. no b. 40.05

Step-by-step explanation:

a. to figure out the number of goals per game you have to divide the total amount of goals by the number of games:

last season: 41 ÷ 15 = 2.73

this season: 24 ÷ 9 = 2.67

as you can see the answer to the last season equation is higher than the this season meaning the player scored more goals last season.

b. we already know that the amount of games the player won each game (all of them supposedly being exactly even) is 2.67. so what we have to do is multiply it by 15 the supposed number of games the player is playing this season to get the total number of goals they will get for the entire season:

2.67 x 15 = 40.05 = the prediction of the total goals of the player

7 0
3 years ago
Read 2 more answers
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