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Molodets [167]
3 years ago
13

Will says that in the number 8,184​, one 8 is 10 times as great as the other 8. Is he ​correct? Explain why or why not.

Mathematics
2 answers:
Xelga [282]3 years ago
8 0

Answer:

blahblahblah

Step-by-step explanation:

hi me

Vinil7 [7]3 years ago
4 0
No he is not correct .
Break apart the number 8,184
You will get
8000 + 100 + 80 + 4

The numbers we are comparing are 8000 and 80

80 x 10 = 800

The number we are looking for is 8000

This makes the claim that one 8 is 10 times greater false as it is in fact 100 times as great.

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34x+5−12x=3 what is the value of x?
serg [7]

Answer:

\large\boxed{x=-\dfrac{1}{11}}

Step-by-step explanation:

34x+5-12x=3\qquad\text{subtraxct 5 from both sides}\\\\34x-12x=3-5\\\\22x=-2\qquad\text{divide both sides by 22}\\\\x=\dfrac{-2}{22}\\\\x=-\dfrac{2:2}{22:2}\\\\x=-\dfrac{1}{11}

8 0
3 years ago
Read 2 more answers
Please help me find the answer thank you
mario62 [17]

Answer:

d = 1

Step-by-step explanation:

1.5 - 0.5 = 1

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And if you still have any questions about the way I solved it, don't hesitate to ask me in the comments below ;)

5 0
3 years ago
 A rubber ball is dropped onto a hard surface from a height of 8 feet, and it bounces up and down. At each bounce it rises to 90
Setler [38]
A. 8 feet * 0.9 = distance after first bounce
h(n) = 8 * 0.9^n

b. 8 * 0.9^14 = 1.83 feet to 2 d.p.
1.83 * 12 = 21.96 inches

7 0
3 years ago
The final margin of an NFL football game is approximately normally distributed, with a mean equal to the gambling point spread a
nika2105 [10]

Answer:

The Giants had 0.1949 = 19.49% probability of winning initially.

Step-by-step explanation:

When the distribution is normal, we use 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.

Mean equal to the gambling point spread and a standard deviation of 14 points. The Patriots had been favored by 12 points.

This means that \mu = 12, \sigma = 14

What does that fact imply about the Giants' initial (i.e., pre-game) chances of winning

P(X > 0): Probability of Patriots winning.

P(X < 0): Probability of Giants winning.

So we want to find P(X < 0), which is the pvalue of Z when X = 0. So

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

Z = \frac{0 - 12}{14}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

The Giants had 0.1949 = 19.49% probability of winning initially.

7 0
3 years ago
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Answer:

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Step-by-step explanation:

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7 0
3 years ago
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