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NISA [10]
2 years ago
9

Find the length of side y. y=_ft

Mathematics
2 answers:
jolli1 [7]2 years ago
6 0

Answer:

x= 0.22947

Step-by-step explanation:

Rasek [7]2 years ago
4 0

Step-by-step explanation:

x=0 22 im not sure though ok

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How do I figure out what 1/10 of 6000 is?
alisha [4.7K]
The way I like to figure out problems like this is to write it out like,

1/10 = x/6000
(One over ten equals x over 6000)

Then you find out how much you multiplied 10 by to get 6000. To do this you can divide 6000 by 10 getting 600. The rule "what you do to the bottom you have to do to top" in this equation. So since you multiplied the bottom by 600 you have to multiply the top by 600 as well. 600 times 1 is just 600.

So your answer is, 600 is 1/10 of 6000.

Hope this helps and isn't too confusing.
5 0
3 years ago
Please help I will like and brainy
Nitella [24]

What is the value of x in this diagram?


Please help
3 0
3 years ago
Read 2 more answers
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
Ashley has 9 pizzas .She is serving each person at a party 3/4 of a pizza.How many can she serve at the party?​
shusha [124]

Answer:

Ashley can serve 12 pieces of pizza in the party

Step-by-step explanation:

To solve this question we need to convert the 9 pizzas to decimal:

9 times 4 = 36. That is:

9 pizzas are equal to 36/4 of pizza (36/4 = 9)

As Ashley is serving 3/4 of a pizza she can serve:

36/4 ÷ 3/4 = 36/3 = 12

<h3>Ashley can serve 12 pieces of pizza in the party</h3>
8 0
3 years ago
A screening test wished to improve the diagnostic ability to identify Zika-infected fetuses in pregnancy rather than after birth
12345 [234]

Answer:

Sensitivity = 66.7%  (C)

specificity= 98.0%  (E)

positive predictive value = 80.0%  (F)

Negative predictive value = 96.0%  (D)

accuracy of the test  = 94.5%  (A)

Step-by-step explanation:

Given the data in the question;

                                    Disease Present              Disease Absent        Total

Test Positive                      24                                        6                        30

Test Negative                    12                                       288                     300

Total                                   36                                       294                    330

so A = 24, B = 6, C = 12 and D = 288

sensitivity = [A/(A+C)]×100 = [24/(24+12)]×100 = [24/36]×100

Sensitivity = 66.7%  (C)

specificity= [D/(D+B)]×100 = [288/(288+6)]×100 = [288/294]×100

specificity= 98.0%  (E)

positive predictive value = [A/(A+B)]×100 = [24/(24+6)]×100

= [24/30]×100

positive predictive value = 80.0%  (F)

Negative predictive value = [D/(D+C)]×100 = [288/(288+12)]×100

= [288/300]×100

Negative predictive value = 96.0%  (D)

accuracy of the test = [A+D/(A+B+C+D)]×100 = [24+288/(24+6+12+288)]×100

= [312/330]×100

accuracy of the test  = 94.5%  (A)

Nothing 33.3% (B)

6 0
3 years ago
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