To represent normal variable (distribution) with mean ( µ) and standard deviation (σ) we use shorthand notation X ~ N (µ, σ). For example, suppose the vitamin C content of a particular variety of orange is distributed normally with mean 720 IU and standard deviation 46 IU. If we designate X = the vitamin C content of a randomly selected orange, then our shorthand notation is X~N(720 IU, 46 IU).
To represent probability between two values a and b we use notation P (a< X < b), to represent probability greater than a we use notation P(a>X), and to represent probability less than a, we use notation P(XUse the example and notation to answer the following questions:

2pt 1) What is the probability that a randomly selected orange will have less than 660 IU?

2 pt 2) Using X as the random variable, what probability notation would you use to represent the probability in part 1?

2pt 3) What is the 80th percentile of the distribution of vitamin C content of the oranges?

1pt 4) What proportion of oranges exceed the vitamin C content you found in part (2) above?

3pt 5) What range of vitamin C content values represent the middle 80% of the distribution? State your answer as a probability statement using the probability notation.

a reflection across the x-axis , followed by the by a reflection across the y-axis , and then a scale dilation of 0.5 .

it can be to see completed examples before writing, in order to examine what makes for an effective piece. see how these intros give some context before posing the topic and lead naturally into the body paragraphs, where the evidence will be listed. you can imagine how the author has organized the rest of the piece.

"we buried my cousin last summer. he was 32 when he hanged himself from a closet coat rack in the throes of alcoholism, the fourth of my blood relatives to die prematurely from this deadly disease. if america issued drinking licenses, those four men—including my father, who died at 54 of liver failure—might be alive today. that is a good example piece   some steps that are .

. writing something that happened to you

.read a book you like to get ideas from there

. lastly you can make a venn diagram

hope this plz make brainliest

step-by-step explanation:

55.44 inches

step-by-step explanation:

part a. assuming a perfectly linear relationship, we can find the slope from the first two data points.

slope = m = (change in rainfall)/(change in years)

= (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53

then the point-slope form of the equation of the line can be written as

y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33)

y = -0.53x +62.33 . . . x = years after 2004

part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is

y = -0.53·13 +62.33 = 55.44 . . inches

the predicted rainfall in 2017 is 55.44 in.

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