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Marizza181 [45]
3 years ago
14

The Mallards pay their two quarterbacks $7.2 million and $1.4 million. If the team salary is $33 million a year and their budget

for quarterbacks is 25% of total salaries. Are they over budget? a) Yes b) No
Mathematics
2 answers:
algol133 years ago
7 0

Answer:

Yes

Step-by-step explanation:

tankabanditka [31]3 years ago
6 0

Answer:

a) Yes

Step-by-step explanation:

The computation is shown below:

Given that

Their two quarterbacks is $7.2 million and $1.4 million

Its total is

= $7.2 million + $1.4 million

= $8.6 million

Now if the team salary is $33 million

And their budget is 25% of total salaries

i.e.

= $33 million × 25%

= $8.25 million

So as we can see that it it overbudget as the target is $8.25 million but it is $8.6 million

SO, the correct option is a.

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15/25 = 36/x

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100% of blank equals 52
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Round 12.566370614359 to the nearest hundredth
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The gypsy moth is a serious threat to oak and aspen trees. A state agriculture department places traps throughout the state to d
k0ka [10]
Part A:

From the central limit theorem, since the number of samples is large enough (up to 30), the mean of the the mean of the average number of moths in 30 traps is 0.6.



Part B:

The standard deviation is given by the population deviation divided by the square root of the sample size.

standard \ deviation= \frac{\sigma}{\sqrt{n}} = \frac{0.4}{\sqrt{30}} = \frac{0.4}{5.477} =0.073



Part C:

The probability that an approximately normally distributed data with a mean, μ, and the standard deviation, σ, with a sample size of n is greater than a number, x, given by

P(X\ \textgreater \ x)=1-P(X\ \textless \ x) \\  \\ =1-P\left(z\ \textless \  \frac{x-\mu}{\sigma/\sqrt{n}} \right)

Thus, given that the mean is 0.6 and the standard deviation is 0.4, the probability that <span>the average number of moths in 30 traps is greater than 0.7</span> given by:

P(X\ \textgreater \ 0.7)=1-P(X\ \textless \ 0.7) \\ \\ =1-P\left(z\ \textless \ \frac{0.7-0.6}{0.073} \right)=1-P(z\ \textless \ 1.369) \\  \\ =1-0.91455=\bold{0.0855}
7 0
3 years ago
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