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murzikaleks [220]
3 years ago
9

Here is a set of data:1300, 18, 25, 19, -7, 24. which observation is the outlier

Mathematics
1 answer:
devlian [24]3 years ago
8 0
An outlier is a point which falls more that 1.5 times the interquartile  range above the thrid quartile or below the first quartile. It is basically the point which is abnormally off the limit within which other points are within. Given our data points:
1300, 18,25,18,-7,24
compared to the rest of the points, 1300 is quite of the limit. Thus;
Answer: 1300

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Please help!!! Thank you!
True [87]

Answer:

A and C

Step-by-step explanation:

Perpendicular lines have reciprocal and opposite slopes.

First slope =3,

Second = -3

Third slope = -1/3 (which is opposite and reciprocal to the first)

Last slope = -3

5 0
2 years ago
Work out the shaded area​
Dennis_Churaev [7]

Answer:

<h2> 70 {cm}^{2}</h2>

Step-by-step explanation:

Shaded area:

Area of big rectangle - Area of small rectangle

= 10 \times 12 - (10 - 5) \times (12 - 2)

Calculate the difference

= 10  \times 12 - 5 \times 10

Calculate the product

= 120 - 50

Calculate the difference

= 70 \:  {cm}^{2}

Hope this helps...

Best regards!!

7 0
3 years ago
Does anyone know what the answer is..?
Leno4ka [110]
It should be 5 because that's the smallest number and A is the first point
3 0
3 years ago
A recent study examined the association between high blood pressure and increased risk of death from cardiovascular disease. The
zalisa [80]
<span>Find the odds of a man with high blood pressure dying from cardiovascular disease. 55 p .0165 3338 = p .0165 .0165 .0168 1 p 1 .0165 .9835

Do the same for a man with low blood pressure. 21 p .0079 2676 = = p .0079 .0079 .00796 1 p 1 .0079 .9921 = = = − − ----->

Calculate the odds ratio with the odds for the high blood pressure group in the numerator. Describe the result in words. HBP LBP odds .0168 odds ratio 2.11 odds .00796 = = = Men with high blood pressure are 2.11 times more likely to die from cardiovascular disease.</span>
7 0
3 years ago
A box contains 10 transistors, 4 of which are defective. If 3 are sold at random, find the probability that exactly 1 are defect
Readme [11.4K]
I'd say around 10%
4 out of 10 = 40%
3 out of the 10 are sold = 30%
1 out of the 3 might be bad = 10%
I may be wrong.
3 0
3 years ago
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