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butalik [34]
3 years ago
8

25, 34, 46, 37, 33, 42, 40, 37, 34, 49, 73, 46, 45, 45, 5. how many outliers do these data contain?

Mathematics
2 answers:
azamat3 years ago
7 0

Answer:

25, 34, 46, 37, 33, 42, 40, 37, 34, 49, 73, 46, 45, 45, 5. how many outliers do these data contain?

Step-by-step explanation:

<u><em>In statistics an outlier is an observation that is numerically distant from the rest of the data. </em></u>

<em>Therefore in this example there are two numerically distant samples from the rest, which are</em> <u>5 and 73</u>.

yKpoI14uk [10]3 years ago
6 0
2: 73 and 5
...............................
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We learned in that about 69.7% of 18-20 year olds consumed alcoholic beverages in 2008. We now consider a random sample of fifty
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Answer:

(1) The expected number of people who would have consumed alcoholic beverages is 34.9.

(2) The standard deviation of people who would have consumed alcoholic beverages is 10.56.

(3) It is surprising that there were 45 or more people who have consumed alcoholic beverages.

Step-by-step explanation:

Let <em>X</em> = number of adults between 18 to 20 years consumed alcoholic beverages in 2008.

The probability of the random variable <em>X</em> is, <em>p</em> = 0.697.

A random sample of <em>n</em> = 50 adults in the age group 18 - 20 years is selected.

An adult, in the age group 18 - 20 years, consuming alcohol is independent of the others.

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The probability mass function of a Binomial random variable <em>X</em> is:

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(1)

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E(X)=np\\=50\times 0.697\\=34.85\\\approx34.9

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(2)

Compute the standard deviation of <em>X</em> as follows:

SD(X)=\sqrt{np(1-p)}=\sqrt{50\times 0.697\times (1-0.697)}=10.55955\approx10.56

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(3)

Compute the probability of <em>X</em> ≥ 45 as follows:

P (<em>X</em> ≥ 45) = P (X = 45) + P (X = 46) + ... + P (X = 50)

                =\sum\limits^{50}_{x=45} {50\choose x}0.697^{x}(1-0.697)^{50-x}\\=0.0005+0.0001+0.00002+0.000003+0+0\\=0.000623\\\approx0.0006

The probability that 45 or more have consumed alcoholic beverages is 0.0006.

An unusual or surprising event is an event that has a very low probability of success, i.e. <em>p</em> < 0.05.

The probability of 45 or more have consumed alcoholic beverages is 0.0006. This probability value is very small.

Thus, it is surprising that there were 45 or more people who have consumed alcoholic beverages.

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Answer:

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