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slavikrds [6]
3 years ago
10

I WILL GIVE BRAINLIEST!!!!!!! A video game developer wants to know how long it takes people to finish playing their new game. Th

ey surveyed a random sample of 13 players and asked how long it took them (in minutes). 1.235 952 457 1,486 1,486 | 1,759 1,148 548 1,0371,864 | 1,245 866 1,431 a. Estimate the median time it will take all players to finish this game. minutes b. Find the interquartile range for this sample minutes​

Mathematics
1 answer:
djyliett [7]3 years ago
4 0

Answer:

a)  median = 1,148 minutes

b)  IQR = 549.5

Step-by-step explanation:

Q1 = (952 + 866) / 2 = 909

Q3 = (1431 + 1486) / 2 = 1458.5

IQR = 1458.5 - 909.0 = 549.5

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B? I believe the answer is B
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Mr. P mowed 2/7 of his lawn. His son mowed 1/4 of it who mowed the most how much of the lawn still need to be mowed. Solve using
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Find the total surface area of a rectangular prism whose width is 8 inches, length is 12 inches and height is 5 inches. Please s
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3 0
3 years ago
Q3. Sixteen percent of Americans do not have health insurance. Suppose a simple random sample of 500 Americans is obtained. In a
andreyandreev [35.5K]

Answer:

P(X > 100.5) = 0.0062 \\\\

Therefore, there is 0.0062 probability that more than 20% of Americans do not have health insurance.

Step-by-step explanation:

Sixteen percent of Americans do not have health insurance. Suppose a simple random sample of 500.

From the above information,

p = 16% = 0.16

n = 500

The mean is given by

\mu = n \times p \\\\\mu = 500 \times 0.16 \\\\\mu = 80

The standard deviation is given by

\sigma = \sqrt{n \times p(1-p)} \\\\\sigma = \sqrt{500 \times 0.16(1-0.16)} \\\\\sigma = 8.197

What is the probability that more than 20% do not have health insurance?

We can use the Normal distribution as an approximation to the Binomial distribution since the following conditions are satisfied.

n×p ≥ 5  (satisfied)

n×(1 - p) ≥ 5   (satisfied)

So the probability is given by

500×0.20 = 100

P(X > 100) = 1 - P(X < 100)

We need to consider the continuity correction factor whenever we use continuous probability distribution (Normal distribution) to approximate discrete probability distribution (Binomial distribution).

P(X > 100.5) = 1 - P(X < 100.5)\\\\P(X > 100.5) = 1 - P(Z < \frac{x - \mu}{\sigma} )\\\\P(X > 100.5) = 1 - P(Z < \frac{100.5 - 80}{8.197} )\\\\P(X > 100.5) = 1 - P(Z < \frac{20.5}{8.197} )\\\\P(X > 100.5) = 1 - P(Z < 2.50)\\\\

The z-score corresponding to 2.50 is 0.9938

P(X > 100.5) = 1 - 0.9938\\\\P(X > 100.5) = 0.0062 \\\\P(X > 100.5) = 0.62\% \\\\

Therefore, there is 0.0062 probability that more than 20% of Americans do not have health insurance.

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4 years ago
Help me out i will give brainliest i’m in school help
AleksAgata [21]

Answer:

c

Step-by-step explanation:

5 0
3 years ago
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