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Romashka-Z-Leto [24]
3 years ago
15

Find the surface area

Mathematics
2 answers:
DanielleElmas [232]3 years ago
8 0

Answer:

88π in.Exact form

276.4601 in. Decimal Form

nlexa [21]3 years ago
7 0

Answer:15

Step-by-step explanation:

i solved it!

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William decides to complete his reading homework for the past two days. The first day he was assigned to read 10 pages and the s
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3

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ests for tuberculosis like all other diagnostic tests are not perfect. QFT-G is one of such tests for tuberculosis. Suppose that
Brut [27]

Answer:

P(POSc/Sc)

Step-by-step explanation:

As,

POS= Test has positive results

and

S=Adult has tuberculosis.

The test correctly identifies 74.6% of the time adults with a tuberculosis and correctly identifies those without tuberculosis 76.53% of the time.

In the above statement 76.53% describes the probability of adult who don't have tuberculosis gets the negative results as test is correctly identifying.

So, getting negative results means that not positive results and for this event the notation of complement POSc is used. Also, not having tuberculosis can be denoted as Sc. So,

POSc= Test has negative results

Sc=Adult hasn't tuberculosis

Thus, P(POSc/Sc) depicts the probability of adults not having tuberculosis gets correct results.

Hence,  P(POSc/Sc)=76.53%

3 0
3 years ago
Two different samples will be taken from the same population of test scores where the population mean and standard deviation are
Alenkinab [10]

Answer:

The sample consisting of 64 data values would give a greater precision.

Step-by-step explanation:

The width of a (1 - <em>α</em>)% confidence interval for population mean μ is:

\text{Width}=2\cdot z_{\alpha/2}\cdot \frac{\sigma}{\sqrt{n}}

So, from the formula of the width of the interval it is clear that the width is inversely proportion to the sample size (<em>n</em>).

That is, as the sample size increases the interval width would decrease and as the sample size decreases the interval width would increase.

Here it is provided that two different samples will be taken from the same population of test scores and a 95% confidence interval will be constructed for each sample to estimate the population mean.

The two sample sizes are:

<em>n</em>₁ = 25

<em>n</em>₂ = 64

The 95% confidence interval constructed using the sample of 64 values will have a smaller width than the the one constructed using the sample of 25 values.

Width for n = 25:

\text{Width}=2\cdot z_{\alpha/2}\cdot \frac{\sigma}{\sqrt{25}}=\frac{1}{5}\cdot [2\cdot z_{\alpha/2}\cdot \sigma]        

Width for n = 64:

\text{Width}=2\cdot z_{\alpha/2}\cdot \frac{\sigma}{\sqrt{64}}=\frac{1}{8}\cdot [2\cdot z_{\alpha/2}\cdot \sigma]

Thus, the sample consisting of 64 data values would give a greater precision

5 0
3 years ago
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