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Firlakuza [10]
3 years ago
11

Give a counterexample for the statement all square roots are irrational numbers explain your reasoning

Mathematics
2 answers:
valina [46]3 years ago
8 0
Not all square roots are irrational. This can be proven by finding the perfect square roots. The sqrt. of 16, 25, and 26, for example, the answers are all rational numbers. 


I hope this is what you are asking for; let me know if you need anythings else :)
konstantin123 [22]3 years ago
4 0
An irrational number is a number that has an everlasting decimal (9.34560292348857485...). (If the decimal repeats, it is not irrational. 9.476666666...)
This is false because the square root of an even number are not irrational.
The square root of 16 is 4. The square root of 144 is 12.
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A) Interval estimate for those that want to get out earlier = (35%) ± (4%) = (31%, 39%)

Interval estimate for those that want to get out later = (39%) ± (4%) = (35%, 43%)

B) The group that wants to get out of school earlier can win after all the votes are counted if their true population proportion takes on a value that is higher than the closest true population proportion (for the group that wants to get out of school later)

That is, in the (31%, 39%) and (35%, 43%) obtained in (a), a range of (35.1%, 39%) and (35%, 38.9%) show how possible that the group that wants to get out of school earlier can win after all the votes are counted.

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The Interval estimate for the proportion is basically an interval of range of values where the true population proportion can be found with a certain level of confidence.

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Interval estimate = (Sample proportion) ± (Margin of error)

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ii) those that want to get out later.

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Interval estimate for those that want to get out earlier = (35%) ± (4%) = (31%, 39%)

ii) Sample proportion of those that want to get out later = 39%

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Interval estimate for those that want to get out later = (39%) ± (4%) = (35%, 43%)

b) Explain how it would be possible for the group that wants to get out of school earlier to win after all the votes are counted.

Since the interval estimates represent the range of values that the true population proportion can take on for each group that prefer a particular option, the group that wants to get out of school earlier van have their proportion take on values between 31% and 39%. If their true population takes on a value that is highest (which is very possible from the interval estimate), and the group with the highest proportion in the sample, (the group that wants to get out of school later, whose true population proportion can take between 35% and 43%) has a true population proportion that is less than that of the group that wants to get out of school earlier, then, the group that wants to get out of school earlier can win after all the votes are counted.

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