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Sindrei [870]
3 years ago
9

Suppose you roll a special 25 sided die. What is the probability that the number rolled is 1 or 2?

Mathematics
2 answers:
choli [55]3 years ago
7 0
2/25ths or 0.08 percent chance
yuradex [85]3 years ago
3 0
The answer is 21 I think not
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Using Pythagorean’s theorem, the side length is sqrt(89)
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WILL GIVE BRAINLIEST! Someone please graph these, I can't graph them.
nadezda [96]

Answer:

see attached image

Step-by-step explanation:

F(x) = 2x + 5 is a linear graph because the exponent on x is 1.  I tell my students that think of graphs having one less turn/corner that the value of the highest exponent.  so since 2x has a exponent of 1, 1-1 =0 so it has no turns or its a straight line.

this has a slope of 2 or 2/1 or up 2 and right 1 from the y intercept which is 5

so mark 5 on the y axis and a from there go up 2 and right 1 and make another point.  Join these points and you have your graph


and


g(x) = (x-5)/2  is its inverse and is found:

F(x) = 2x + 5 write it this way y = 2x + 5

now swap the x and y    x = 2y - 5

solve for y

x = 2y + 5

- 5       -5

x - 5 = 2y

/2        /2

(x-5)/2 = y

it can be written as y = x/2 - 5/2

and graphed the same way as above with a  1/2 slope and -5/2 y intercept

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Sandy sold 22 tickets, which was at least 6 more than twice the number of tickets that Teresa sold. This can be represented by t
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Step-by-step explanation:

Let 'x' represent the number of tickets that Teresa sold, and x is integer and x>=0 (you can not sell negative number of tickets)

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In a clinical test with 2161 subjects, 1214 showed improvement from the treatment. Find the margin of error for the 95% confiden
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Answer:

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In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the z-score that has a p-value of 1 - \frac{\alpha}{2}.

The margin of error is of:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

In a clinical test with 2161 subjects, 1214 showed improvement from the treatment.

This means that n = 2161, \pi = \frac{1214}{2161} = 0.5618

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So \alpha = 0.05, z is the value of Z that has a p-value of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

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M = z\sqrt{\frac{\pi(1-\pi)}{n}}

M = 1.96\sqrt{\frac{0.5618*0.4382}{2161}}

M = 0.0209

The margin of error for the 95% confidence interval used to estimate the population proportion is of 0.0209.

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