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stealth61 [152]
3 years ago
10

A fruit stand sells 8-ounce containers of blueberries for $4.00. If y represents the cost of x ounces of blueberries, which equa

tion correctly models this proportional relationship?
1. Y= 0.2x

2. Y= 0.5x

3. Y=2x

4. Y=4x
Mathematics
2 answers:
Citrus2011 [14]3 years ago
6 0

Answer:

2

Step-by-step explanation:

2

strojnjashka [21]3 years ago
4 0

Answer:

2

Step-by-step explanation:

this is cop which means you have to divide y/x or in this case 4/8 which is 0.5

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F(x)=x^2+1 What is f(f(x))?
ivolga24 [154]

Answer:

f(x)=x²+1

f(f(x))=(x²+1)²+1

=x⁴+1+2x²+1

=x⁴+2x²+2

choose (2)

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What is the value? when r equals 0
Stels [109]

Answer:

I do not know the answer to this question

Step-by-step explanation:

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One side of a triangle is 13 feet shorter than the second side. The third side is 1 feet longer than the second side. The perime
Papessa [141]

Answer:

let second side be x

then first side = x-13

third side= x+1

now

perimeter of triangle = 45

x-13+x+x+1=45

3x=57

x=19

first side = x-13= 19-13=6

third side= x+1=19+1=20

Step-by-step explanation:

4 0
3 years ago
Which of the following values is the solution of x/32=8?<br> a 24<br> b 40<br> c 256<br> d 4
Oduvanchick [21]

Answer:

c) 256

Step-by-step explanation:

https://www.tiger-algebra.com/drill/x/32=8/ This link shows you how it’s done, it’s not some random link, i used the website all the time

4 0
3 years ago
A statistician calculates that 8% of Americans own a Rolls Royce. If the statistician is right, what is the probability that the
hichkok12 [17]

Answer:

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A statistician calculates that 8% of Americans own a Rolls Royce.

This means that p = 0.08

Sample of 595:

This means that n = 595

Mean and standard deviation:

\mu = p = 0.08

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.08*0.92}{595}} = 0.0111

What is the probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%?

Proportion above 8% + 3% = 11% or below 8% - 3% = 5%. Since the normal distribution is symmetric, these probabilities are equal, and so we find one of them and multiply by 2.

Probability the proportion is less than 5%:

P-value of Z when X = 0.05. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.05 - 0.08}{0.0111}

Z = -2.7

Z = -2.7 has a p-value of 0.0035

2*0.0035 = 0.0070

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

8 0
3 years ago
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