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LenaWriter [7]
3 years ago
5

Some one help please 20 points

Mathematics
1 answer:
NARA [144]3 years ago
8 0

Answer:

323.2

Step-by-step explanation:


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A coin is being flipped 400 times. What is the probability of it landing on heads at most 170 times, rounded to the nearest tent
lisabon 2012 [21]

Hello!

We have two probabilities we can use; we have 170/400, for our experiment, and 1/2, which is our theoretical probability.

To solve, we just multiply the two probabilities.

\frac{170}{400}(1/2)=0.2125≈21.3

Therefore, we have about a 21.3% chance of this event occurring.

I hope this helps!

8 0
3 years ago
What’s the rate of change of the table above? <br> A) -1/3<br> B) 1/2<br> C) -1/4<br> D) 1/5
insens350 [35]

answer is option D

because you can divide them like

\frac{2}{10}  =  \frac{1}{5}  \\  \\  \frac{4}{20}  =  \frac{1}{5}  \\  \\  \frac{6}{30}  =  \frac{1}{5}  \\  \\  \frac{8}{40}  =  \frac{1}{5}

so the option is D

please mark this answer as brainlist

3 0
3 years ago
12 = ____% of 160? Thank you!
beks73 [17]
7.5% of 160.

12 / 160 = 0.075

Move decimal 2 places to the left to convert it to a percent, or multiple by 100.

0.075 * 100 = 7.5

 7.5% is your answer.
3 0
3 years ago
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(2x - 1) ft<br> (x + 4) ft<br> 7 ft
anygoal [31]
What is the question?
7 0
3 years ago
) How many kilowatt hours would the model predict on a day that has 14 hours of possible daylight?
eimsori [14]

Question:

A solar power company is trying to correlate the total possible hours of daylight (simply the time from sunrise to sunset) on a given day to the production from solar panels on a residential unit. They created a scatter plot for one such unit over the span of five months. The scatter plot is shown below. The equation line of best fit for this bivariate data set was: y = 2.26x + 20.01

How many kilowatt hours would the model predict on a day that has 14 hours of possible daylight?

Answer:

51.65 kilowatt hours

Step-by-step explanation:

We are given the equation line of best fit for this data as:

y = 2.26x + 20.01

On a day that has 14 hours of possible daylight, the model prediction will be calculated as follow:

Let x = 14 in the equation.

Therefore,

y = 2.26x + 20.01

y = 2.26(14) + 20.01

y = 31.64 + 20.01

y = 51.65

On a day that has 14 hours of daylight, the model would predict 51.65 kilowatt hours

8 0
3 years ago
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