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Shkiper50 [21]
2 years ago
9

2x} }{\sqrt{} x-1}" alt="\frac{\sqrt{2x} }{\sqrt{} x-1}" align="absmiddle" class="latex-formula">
For which values of x does each expression make sense?
Mathematics
1 answer:
Lubov Fominskaja [6]2 years ago
4 0

Answer:

The expression is unclear so:

If the denominator is \sqrt{x}-1 then your set of existence is given by

\left \{ {{x\ge0} \atop {x\ne1}} \right.

since you want the quantity inside both square roots to be positive (and it happens for both to be simply x\ge0 and you don't want a zero at the denominator so you have to rule out 1.

If the square root includes the whole denominator \sqrt{x-1} the condition becomes \left \{ {{x\ge0} \atop {x>1}} \right.

where you don't include the extreme in the second condition since, again, you don't want to divide by 0. The answer in this case is simply x>1 since values between 0 and 1 will give a negative root which is not a real number.

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Answer:

The 99​% confidence interval estimate of the mean body temperature of all healthy humans is (97.955F, 98.245F).

98.6F is above the upper end of the interval, which means that the sample suggests that the mean body temperature could be lower than 98.6F.

Step-by-step explanation:

The first step is finding the confidence interval

The sample size is 103.

The first step to solve this problem is finding how many degrees of freedom there are, that is, the sample size subtracted by 1. So

df = 103-1 = 102

Then, we need to subtract one by the confidence level \alpha and divide by 2. So:

\frac{1-0.99}{2} = \frac{0.01}{2} = 0.005

Now, we need our answers from both steps above to find a value T in the t-distribution table. So, with 102 and 0.005 in the t-distribution table, we have T = 2.63.

Now, we need to find the standard deviation of the sample. That is:

s = \frac{0.56}{\sqrt{103}} = 0.055

Now, we multiply T and s

M = T*s = 2.63*0.055 = 0.145

For the lower end of the interval, we subtract the mean by M. So 98.1 - 0.145 = 97.955F.

For the upper end of the interval, we add the mean to M. So 98.1 + 0.145 = 98.245F.

The 99​% confidence interval estimate of the mean body temperature of all healthy humans is (97.955F, 98.245F).

98.6F is above the upper end of the interval, which means that the sample suggests that the mean body temperature could be lower than 98.6F.

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3 years ago
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