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damaskus [11]
3 years ago
8

Using the quadratic formula to solve x2 = 5 – x, what are the values of x? StartFraction negative 1 plus-or-minus StartRoot 21 E

ndRoot Over 2 EndFraction StartFraction negative 1 plus-or-minus StartRoot 19 EndRoot i Over 2 EndFraction StartFraction 5 plus-or-minus StartRoot 21 EndRoot Over 2 EndFraction StartFraction 1 plus-or-minus StartRoot 19 EndRoot i Over 2 EndFraction
Mathematics
2 answers:
nikdorinn [45]3 years ago
4 0

Answer:

Add 4

subtract 24 from 5

2

5 = –6x2 + 24x

5 = –6(x2 – 4x)

(Add 4) inside the parentheses and (subtract 24 from 5).

–19 = –6(x – 2)2

StartFraction 19 Over 6 EndFraction = (x – 2)2

Plus or minus StartRoot StartFraction 19 Over 6 EndFraction EndRoot  = x – 2

The two solutions are (2)Plus or minus StartRoot StartFraction 19 Over 6 EndFraction EndRoot.

Snezhnost [94]3 years ago
3 0

Answer: StartFraction negative 1 plus-or-minus StartRoot 21 EndRoot Over 2

Step-by-step explanation:

The given quadratic equation is expressed as

x² = 5 - x

Rearranging the equation to take the standard form of ax² + bx + c, it becomes

x² + x - 5 = 0

The general formula for solving quadratic equations is expressed as

x = [- b ± √(b² - 4ac)]/2a

From the equation given,

a = 1

b = 1

c = - 5

Therefore,

x = [- 1 ± √(1² - 4 × 1 × - 5)]/2 × 1

x = [- 1 ± √(1 - - 20)]/2

x = [- 1 ± √21]/2

x = (- 1 + √21)/2 or x = (- 1 - √21)/2

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To estimate the mean height μ of male students on your campus,you will measure an SRS of students. You know from government data
nexus9112 [7]

Answer:

a) \sigma = 0.167

b) We need a sample of at least 282 young men.

Step-by-step explanation:

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}

This Zscore is how many standard deviations the value of the measure X 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.

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To solve this problem, we use the 68-95-99.7 rule. This rule states that:

68% of the measures are within 1 standard deviation of the mean.

95% of the measures are within 2 standard deviations of the mean.

99.7% of the measures are within 3 standard deviations of the mean.

In this problem, we want 99.7% of all samples give X within one-half inch of \mu. So X - \mu = 0.5 must have Z = 3 and X - \mu = -0.5 must have Z = -3.

So

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

3 = \frac{0.5}{\sigma}

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\sigma = \frac{0.5}{3}

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(b) How large an SRS do you need to reduce the standard deviationof x to the value you found in part (a)?

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The standard deviation of a sample of n young man is given by the following formula

s = \frac{\sigma}{\sqrt{n}}

We want to have s = 0.167

0.167 = \frac{2.8}{\sqrt{n}}

0.167\sqrt{n} = 2.8

\sqrt{n} = \frac{2.8}{0.167}

\sqrt{n} = 16.77

\sqrt{n}^{2} = 16.77^{2}

n = 281.23

We need a sample of at least 282 young men.

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