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Virty [35]
3 years ago
13

I really need help with this pleaseeee

Mathematics
1 answer:
Sedaia [141]3 years ago
4 0

Answer:

σ = 11.68

Step-by-step explanation:

σ =  \sqrt{ \frac{Σ{(xi -  μ)}^{2} }{N} } \\ where \: σ = population \: standard \: deviation \\ xi = each \: value \: from \: population \\  μ = population  \: mean \\ N = size \: of \: population

σ =  \sqrt{ \frac{Σ{(9 - 26)}^{2} + {(16 - 26)}^{2} +{(30 - 26)}^{2} +{(35 - 26)}^{2} + {(40 - 26)}^{2}}{5} } \\ σ =  \sqrt{ \frac{Σ{((-17)}^{2} + {(- 10) }^{2} +{(4) }^{2} +{(9) }^{2} +{(14) }^{2})}{5}} \\ σ =  \sqrt{ \frac{Σ ({289} + {100} +{16} +{81} + {196})}{5} } \\ σ =  \sqrt{ \frac{682}{5} }  \\ σ  =  \sqrt{136.4} \\  σ = 11.679041056525\\ σ = 11.68

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A line is drawn on a coordinate grid by the equation y = 4. Which of the following lines would represent a row parallel to it?
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3 years ago
Assume that a company hires employees on Mondays, Tuesdays, or Wednesdays with equal likelihood.a. If two different employees ar
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Answer:

P(A) = \frac{1}{9}

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Step-by-step explanation:

We know that:

Only employees are hired during the first 3 days of the week with equal probability.

2 employees are selected at random.

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P(M) = \frac{1}{3}.

If we call P(A) the probability that 2 employees have been hired on a Monday, then:

P(A) =P(M\ and\ M)\\\\P(A)=( \frac{1}{3})(\frac{1}{3})\\\\P(A) = \frac{1}{9}

B. We now look for the probability that two selected employees have been hired on the same day of the week.

The probability that both are hired on a Monday, for example, we know is P(A) = \frac{1}{9}. We also know that the probability of being hired on a Monday is equal to the probability of being hired on a Tuesday or on a Wednesday. But if both were hired on the same day, then it could be a Monday, a Tuesday or a Wednesday.

So

P(B) = \frac{1}{9} + \frac{1}{9} + \frac{1}{9}\\\\P(B) = \frac{1}{3}.

C. If the probability that two people have been hired on a specific day of the week is 3(\frac{1}{3}) ^ 2, then the probability that 7 people have been hired on the same day is:

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D. The probability is \frac{1}{729}. This number is quite close to zero. Therefore it is an unlikely bastate event.

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