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kupik [55]
3 years ago
15

Sarah used 2.5 cups of cheese in a dish that serves 10 people. Amyn used 1.6 cups of cheese in a dish that serves 8 people.

Mathematics
1 answer:
Pavel [41]3 years ago
7 0

Answer: 0.05 cup

Step-by-step explanation:

Divide 2.5 by 10 to find how much is in one of Sarah’s dish.

This gives you 0.25

Divide 1.6 by 8 to find how much is in one of Amyn's dish.

This gives you 0.2

Now minus 0.2 from 0.25.

This gives you 0.05 cup

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Solve the equation, and check the solutions √(x+9)/4=3.
nadya68 [22]

Answer:

Solution: x = 135

Step-by-step explanation:

Hi there!

First, let´s write the equation:

√(x + 9) /4 = 3

Multiply by 4 both sides of the equation

√(x + 9) = 12

square both sides of the equation

x + 9 = 144

subtract 9 to both sides of the equation

x = 135  

Let´s check the solution:

√(x + 9) /4 = 3

x = 135

√(135 + 9) /4 = 3

√(144) /4 = 3

12/4 = 3

3 = 3

Then, x = 135 is the solution to the equation.

Have a nice day!

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3 years ago
The football team has a total of 25 jerseys, but only 2 are medium-sized. What percent of the jerseys are medium-sized jerseys ?
olya-2409 [2.1K]

Answer:

0.08

Step-by-step explanation:

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3 years ago
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Determine if the following system of equations has no solutions, infinitely many
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This are similar answers to your questions.

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2 years ago
I need to know all the angles that are congruent
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Congruent to angle 1: 3, 5, 10, 8, and 6
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A sample of size 6 will be drawn from a normal population with mean 61 and standard deviation 14. Use the TI-84 Plus calculator.
AVprozaik [17]

Answer:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean  is also normal and given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean \bar X is also normal and given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

8 0
3 years ago
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