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3 years ago

How do u graph this?

Mathematics

1 answer:

Ronch [10]3 years ago

4 0

This is the graph according to Desmos.com. It says my answer must be at least 20 characters long so here I am lol. I did it on my own and got the same thing

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The lesson of __________ is to forget about the money that’s irretrievably gone and instead to focus on the marginal costs and b

sattari [20]

Answer:sunk costs

Step-by-step explanation:

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3 years ago

Pls help ASAP!!!!!!

Marrrta [24]

${6x}^{3} - 4x {}^{2} + 4x - 8$

answer is

$6x {}^{2} + 8x + \frac{52}{a = - 2}$

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3 years ago

Solve the following equation:<br> 1/3(y - 2) -5/6 (y + 1) =3/ 4(0 - 3) - 2

Evgesh-ka [11]

Answer:

11/5

Step-by-step explanation:

If you need help with more problems like this you can use m a t h w a y. (remove the spaces) :)

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3 years ago

What is the card balance

GaryK [48]

Answer:

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please brainlest and like

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2 years ago

At a university, 60% of the 7,400 students are female. The student newspaper reports the results of a survey of a random sample

omeli [17]

Given Information:

Population mean = p = 60% = 0.60

Population size = N = 7400

Sample size = n = 50

Required Information:

Sample mean = μ = ?

standard deviation = σ = ?

Answer:

Sample mean = μ = 0.60

standard deviation = σ = 0.069

Step-by-step explanation:

We know from the central limit theorem, the sampling distribution is approximately normal as long as the expected number of successes and failures are equal or greater than 10

np ≥ 10

50*0.60 ≥ 10

30 ≥ 10 (satisfied)

n(1 - p) ≥ 10

50(1 - 0.60) ≥ 10

50(0.40) ≥ 10

20 ≥ 10 (satisfied)

The mean of the sampling distribution will be same as population mean that is

Sample mean = p = μ = 0.60

The standard deviation for this sampling distribution is given by

$\sigma = \sqrt{\frac{p(1-p)}{n} }$

Where p is the population mean that is proportion of female students and n is the sample size.

$\sigma = \sqrt{\frac{0.60(1-0.60)}{50} }\\\\\sigma = \sqrt{\frac{0.60(0.40)}{50} }\\\\\sigma = \sqrt{\frac{0.24}{50} }\\\\\sigma = \sqrt{0.0048} }\\\\\sigma = 0.069$

Therefore, the standard deviation of the sampling distribution is 0.069.

4 0

3 years ago