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Mumz [18]
4 years ago
5

What is the answer for 9+9x+9y

Mathematics
1 answer:
Ilya [14]4 years ago
8 0

Answer:

9 + 9x + 9y

Step-by-step explanation:

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Find the measure of the missing angles.
sukhopar [10]

Answer:

B= 133°  C= 47°

Step-by-step explanation:

As shows on the right it's 133°

A= 133°

c+a =180° -a

= 180° -133°

=47°

a and c complement each other and

b= a = 133°

a and b are vertical angles

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8 0
3 years ago
Emma naked a cake for her class she cut the cake into equal size slices after passing out the slices of cake to her friends , th
dalvyx [7]

the answer is 32 because 32×(1/4) or 32/4 is 8 there for 8 is a fourth of 32

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3 years ago
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alina1380 [7]
The second one is correct so its 2
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4 years ago
Help me with this please!!!!!!!!!!!!!!
natima [27]

Answer:

sin 60 = opp/hyp = f/(6√2)

f = 6✓2 × sin 60 = 6✓2 × (✓3/2)

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5 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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