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Mnenie [13.5K]
3 years ago
12

Is the given answer a reasonable solution to the problem ? 7.92 • 10.21= 88.8632

Mathematics
1 answer:
Alexus [3.1K]3 years ago
5 0
7.92 is less than 8
10.21 is less than 11
8*11=88
the answer is less than 88.
the answer seems to be unreasonable to me it's too high
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Answer:

<em>The System of Inequalities in this real-world scenario is:</em>

x+y < = 525

9x+5y < = 1200

Step-by-step explanation:

In this question we are asked to to write a system of inequalities, thus a system of relating two variables, where the relationship will be of the form either greater > or less < or equal.  

<u>Given Information:</u>

→ Maximum number possible in the summer camp: 525

→ People attending are Adults (lets call them x and Campers (lets call them y)

→ Ticket Cost for Adults is $9

→ Ticket Cost for Campers is $5

→ Maximum budget available for both Adults and Campers is $1200

From these information we can obtain 2 Inequalities to define our system of equation.

The first inequality will be with respect to the Maximum Number of People possible which reads as:

x+y\leq 525         [sum of adults and campers should be less or equal to maximum number of people possible]

The second will be with respect to the Maximum Budget available which reads as:

9x+5y\leq 1200         [sum of the cost per ticket for adults and campers should be less or equal to maximum budget available]

<em>Thus the System of Inequalities in this real-world scenario is:</em>

x+y\leq 525\\9x+5y\leq 1200

<em>Which if solved can give us the values for x and y, thus the number of adults and numbe of campers attedning the summer camp. </em>

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Answer:

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Step-by-step explanation:

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An investment website can tell what devices are used to access the site. The site managers wonder whether they should enhance th
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Answer:

a) 0.047

b) 50% probability that the sample proportion of smart phone users is greater than 0.33.

c) 33.39% probability that the sample proportion is between 0.19 and 0.31

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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}}

In this question, we have that:

p = 0.33, n = 100

a) What would the standard deviation of the sampling distribution of the proportion of the smart phone users​ be?

s = \sqrt{\frac{0.33*0.67}{100}} = 0.047

b) What is the probability that the sample proportion of smart phone users is greater than 0.33?

This is 1 subtracted by the pvalue of Z when X = 0.33. So

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

By the Central Limit Theorem

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

Z = \frac{0.33 - 0.33}{0.047}

Z = 0

Z = 0 has a pvalue of 0.5

1 - 0.5 = 0.5

50% probability that the sample proportion of smart phone users is greater than 0.33.

c) What is the probability that the sample proportion is between 0.19 and 0.31​?

This is the pvalue of Z when X = 0.31 subtracted by the pvalue of Z when X = 0.19. So

X = 0.31

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

Z = \frac{0.31 - 0.33}{0.047}

Z = -0.425

Z = -0.425 has a pvalue of 0.3354

X = 0.19

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

Z = \frac{0.19 - 0.33}{0.047}

Z = -2.97

Z = -2.97 has a pvalue of 0.0015

0.3354 - 0.0015 = 0.3339

33.39% probability that the sample proportion is between 0.19 and 0.31

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4 years ago
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