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Natali5045456 [20]
3 years ago
7

I need help on these questions ( will give brianliest if im able to )

Mathematics
1 answer:
kompoz [17]3 years ago
3 0

Answer:

no

Step-by-step explanation:

You might be interested in
The number 7 is what percent of 80
xz_007 [3.2K]

Answer:

5.6

Step-by-step explanation:because if you divide correctly it will equal 5.6

3 0
2 years ago
Find the value of x.<br><br> RZ = 30<br> SW = 5x - 20
Murrr4er [49]
|RZ|=0.5|SW| therefore 2|RZ|=|SW|.

5x - 20 = 2 · 30

5x - 20 = 60    |add 20 to both sides

5x = 80    |divide both sides by 5

x = 16
5 0
3 years ago
Olve. Do your work on a separate she
Mazyrski [523]

Answer:

Step-by-step explanation:

2 coins are 0.25 = 50 cents. That leaves 92-50 = 42 cents and 5 coins to go.

The only way to get 2 cents is to have 2 pennies. That leaves 40 cents and 3 coins to go.

The only way to get 40 cents with 3 coins is 1 quarter, 1 dime, and 1 nickel.

So you have 3 quarters = 75 cents.

2 pennies = 2 cents.

1 dime = 10 cents.

1 nickel = 5 cents.

92 cents total and 7 coins.The only way to get 40 cents

5 0
3 years ago
Read 2 more answers
Need that help.......plz
Anika [276]
For Question Number one
(2+10)²+4=148

Question Number two:
(6+5)×(8-6)=22



5 0
3 years ago
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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