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jeka57 [31]
2 years ago
5

On last week math tests Mr.Jones class had an average of 82 points with a standard deviation of 10 points.Mrs.Potters class had

an average of 79 points with a standard deviation of 3 points.Which class was more constant and how can you tell
Mathematics
1 answer:
katrin [286]2 years ago
8 0

Mrs. Potter’s class was more consistent because their standard deviation of 3 points was lower.

<h3>What is a statistical dispersion?</h3>

A statistical dispersion is also referred to as degree of dispersion and it can be defined as a measure of the extent to which a numerical value (data) is likely to vary about a mean or an average value.

In Mathematics, there are four measures of dispersion for a data set and these include the following:

  • Range
  • Interquartile range
  • Variance
  • Standard deviation

In this scenario, we can infer and logically conclude that Mrs. Potter’s class was more consistent than Mr. Jones class because their standard deviation of 3 points was lower.

Read more on standard deviation here: brainly.com/question/24298037

#SPJ1

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Alenkinab [10]

Answer:

the new area is 1% smaller.

Step-by-step explanation:

the area of a rectangle is length times breadth.

let's call them a and b

Area = a × b

now, a is increased by 10%. that means it is multiplied by 11/10.

because 100% means the whole thing, 1% means a 1/100th part of the whole. and 10% then means 10 times the 1/100th part of 10 × 1/100 = 10/100 = 1/10

if then simmering increases by 10% it means that it is the original 100% plus 10%.

so, it is 100/100 + 10/100 = 10/10 + 1/10 = 11/10

therefore the new length is

a(new) = a(old)×11/10

in exactly the same way, when the breadth is reduced by 10% we get then

breadth(new) = breadth(old)×9/10

so, Area(new) = a(new)×b(new) = a(old)×11/10 × b(old)×9/10

remember, Area(old) = a(old)×b(old)

so, Area(new) = a(old)×b(old) × 11/10 × 9/10 =

= Area(old) × 11/10 × 9/10 =

= Area(old) × 99/100

that means the new area has lost compared to the old area 1/100th of its size. 1/100th = 1%

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