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saul85 [17]
3 years ago
14

A symbol that represents and unknown quantity is called ??

Mathematics
2 answers:
Natasha_Volkova [10]3 years ago
7 0

the answer is a variable

Tom [10]3 years ago
4 0

Answer:

Variables

Step-by-step explanation:

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Help pls 6th grade math
vladimir1956 [14]

Answer:

x> or equal to 35. 36 is a solution.

Step-by-step explanation:

3 0
2 years ago
Y=x+2<br> and then you have x=-3 <br><br><br> You also have to use transitive property
tresset_1 [31]
If y = x+2 and x = -3 then we can say that y = -3+2 after replacing the 'x' with -3

From here, we just add -3 and 2 to get -1 which is why y = -3+2 turns into y = -1

So together x = -3 and y = -1

They pair up to form (x,y) = (-3,-1)
8 0
3 years ago
An array of 2 rows of 7 dots has a total of 14 dots. it is called a 2 by __ array​
max2010maxim [7]

It is called a 2 by 7 array.

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3 years ago
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a_sh-v [17]
The cactus one I think is 0.875
8 0
3 years ago
Read 2 more answers
Suppose that an airline overbooks seats on their flights. In particular, it sells 300 tickets for a flight when there are only 2
vladimir1956 [14]

Using the <u>normal approximation to the binomial</u>, it is found that there is a 0.994 = 99.4% probability that we will have enough seats for everyone who shows up.

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.
  • The binomial distribution is the probability of <u>x successes on n trials</u>, with <u>p probability</u> of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

In this problem:

  • 15% do not show up, so 100 - 15 = 85% show up, which means that p = 0.85.
  • 300 tickets are sold, hence n = 300.

The mean and the standard deviation are given by:

\mu = np = 300(0.85) = 255

\sigma = \sqrt{np(1-p)} = \sqrt{300(0.85)(0.15)} = 6.185

The probability that we will have enough seats for everyone who shows up is the probability of at most <u>270 people showing up</u>, which, using continuity correction, is P(X \leq 270 + 0.5) = P(X \leq 270.5), which is the <u>p-value of Z when X = 270.5</u>.

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

Z = \frac{270.5 - 255}{6.185}

Z = 2.51

Z = 2.51 has a p-value of 0.994.

0.994 = 99.4% probability that we will have enough seats for everyone who shows up.

A similar problem is given at brainly.com/question/24261244

8 0
3 years ago
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