Answer:
What is the expected value for the insurance company?
E(x) = 0.9986*161 + 0.0014*(-99839) = $21.00
Step-by-step explanation: Ur welcome
There is a 0.9986 probability that a randomly selected 30 year old male lives through the year. A life insurance company charges $161 for insuring that the male lives through the year. If the male does not survive the year, the policy pays out $100,000 as a death benefit.
George washington is the first president
First option: correct. This is because angles WOX and XOZ are supplementary, so

Second option: correct. By the inscribed angles theorem, we have

Angles WOX and YOZ are congruent because they form a vertical pair; they both have measure 76 degrees. This means angles WXY and WZY are also congruent, since the interior angles of any triangle sum to 180 degrees in measure. Therefore triangles WXO and YZO form a side-side-side pair, and all SSS triangles are similar.
Third option: not correct. There is a theorem (not sure what the name is) regarding intersecting chords that asserts the average of the measures of arcs WY and XZ is the same as the measure of angle XOZ. This means

Fourth option: not correct. This is because arcs WX and XZ are not "supplementary" in the sense that they do not form a semicircle and their measures do not add to 180 degrees. We know this because it's clear that point O is not the center of the circle. If it was, then angle XOZ would be a central angle and its measure would be the same as the arc XZ it subtends.
Fifth option: correct. The theorem mentioned in the assessment of the third option makes itself useful here. We have

Answer:
And we can find the probability with this difference
And using the normal standard distribution or excel we got:
Step-by-step explanation:
Let X the random variable that represent the soft drink machine outputs of a population, and for this case we know the distribution for X is given by:
Where
and
We want to find this probability:
The z score is given by:
Using this formula we got:
And we can find the probability with this difference
And using the normal standard distribution or excel we got: