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leva [86]
3 years ago
15

Help please writer the answer as letters

Mathematics
2 answers:
xz_007 [3.2K]3 years ago
7 0

the correct answer for A is choice B. answer choice C is correct for question B.

Step-by-step explanation:

answer choice D is correct for C.

Liula [17]3 years ago
3 0

Answer:

B, D, D

Step-by-step explanation:

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What is the weight of an object whose mass is 16.4 kg?
MrRissso [65]
The answer is 161.70 N.

EXPLANATION

To change from mass to weight multiply by gravity (9.8 m/s^2) 

Fw = m * 9.8 m/s^2 
Fw = 16.5 kg * 9.8 m/s^2 = 161.70 N.
4 0
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!!!!Which ordered pair in the form of (x, y) are solutions to the equation 7x - 5y =28
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Answer:

(-6,-14)

Step-by-step explanation:


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3 years ago
About how many times greater is 12,000 miles than 3 • 10^3 miles?
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Answer:

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8 0
4 years ago
There are two games involving flipping a coin. In the first game you win a prize if you can throw between 45% and 55% heads. In
Nina [5.8K]

Answer:

d) 300 times for the first game and 30 times for the second

Step-by-step explanation:

We start by noting that the coin is fair and the flip of a coin has a probability of 0.5 of getting heads.

As the coin is flipped more than one time and calculated the proportion, we have to use the <em>sampling distribution of the sampling proportions</em>.

The mean and standard deviation of this sampling distribution is:

\mu_p=p\\\\ \sigma_p=\sqrt{\dfrac{p(1-p)}{N}}

We will perform an analyisis for the first game, where we win the game if the proportion is between 45% and 55%.

The probability of getting a proportion within this interval can be calculated as:

P(0.45

referring the z values to the z-score of the standard normal distirbution.

We can calculate this values of z as:

z_H=\dfrac{p_H-\mu_p}{\sigma_p}=\dfrac{(p_H-p)}{\sqrt{\dfrac{p(1-p)}{N}}}=\sqrt{\dfrac{N}{p(1-p)}}*(p_H-p)>0\\\\\\z_L=\dfrac{p_L-\mu_p}{\sigma_p}=\dfrac{p_L-p}{\sqrt{\dfrac{p(1-p)}{N}}}=\sqrt{\dfrac{N}{p(1-p)}}*(p_L-p)

If we take into account the z values, we notice that the interval increases with the number of trials, and so does the probability of getting a value within this interval.

With this information, our chances of winning increase with the number of trials. We prefer for this game the option of 300 games.

For the second game, we win if we get a proportion over 80%.

The probability of winning is:

P(p>0.8)=P(z>z^*)

The z value is calculated as before:

z^*=\dfrac{p^*-\mu_p}{\sigma_p}=\dfrac{p^*-p}{\sqrt{\dfrac{p(1-p)}{N}}}=\sqrt{\dfrac{N}{p(1-p)}}*(p^*-p)>0

As (p*-p)=0.8-0.5=0.3>0, the value z* increase with the number of trials (N).

If our chances of winnings depend on P(z>z*), they become lower as z* increases.

Then, we can conclude that our chances of winning decrease with the increase of the number of trials.

We prefer the option of 30 trials for this game.

8 0
3 years ago
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