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earnstyle [38]
3 years ago
6

Sandy has around $245 in her pocket but she thinks she could have up to $25 more or $25 less. Write and solve an absolute value

equation that can show the maximum and minimum amount of money that Sandy has in her pocket.
Mathematics
1 answer:
Schach [20]3 years ago
4 0

Answer:

  • The absolute value equation is |x - 245| = 25
  • The maximum amount of money in Sandy's pocket is $270
  • The minimum amount of money in Sandy's pocket is  $215

Step-by-step explanation:

The absolute value equation for the amount of money in Sandy's pocket is given as;

|x - 245| = 25

The equation for the maximum amount of money in Sandy's pocket is given as;

x - 245 = 25

x = 25 + 245

x = $270

The equation for the minimum amount of money in Sandy's pocket is given as;

x - 245 = -25

x = -25 + 245

x = $215

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Answer:

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Step-by-step explanation:

Given the elevation h (in feet) of the balloon modeled by the function h(x)=−6x+330, we can calculate the time it takes the balloon to reach the ground. The hot air balloon hits the ground at h(x) = 0.

Substitute h(x) = 0 into the modeled expression and find x as shown;

h(x)=−6x+330

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Divide both sides by 6

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What is the volume of the triangular prism below 7.8 in 6 in 5 in 11.5 in
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3 years ago
Suppose that you take a sample of 250 adults. If the population proportion of adults who watch news videos is 0.58​, what is the
aliina [53]

Answer:

0.36% probability that fewer than half in your sample will watch news​ videos

Step-by-step explanation:

To solve this question, i am going to use the binomial approximation to the normal.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 250, p = 0.58

So

\mu = E(X) = 250*0.58 = 145

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{250*0.58*0.42} = 7.80

If the population proportion of adults who watch news videos is 0.58​, what is the probability that fewer than half in your sample will watch news​ videos

Half: 0.5*250 = 125

Less than half is 124 or less

So this is the pvalue of Z when X = 124

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

Z = \frac{124 - 145}{7.8}

Z = -2.69

Z = -2.69 has a pvalue of 0.0036

0.36% probability that fewer than half in your sample will watch news​ videos

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