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In-s [12.5K]
2 years ago
9

Please do the work thats all i need 50 points

Mathematics
2 answers:
choli [55]2 years ago
7 0

Step-by-step explanation:

Recursive Rule would get by just carefully analysing the pattern and common difference.

a1 = 0 ,

d = a2-a1 ==> d = -3-0 ==> d = -3 ...(common difference)

so here, an would be,

an = a1 + (n-1) d

==> an = 0 + (n-1)(- 3)

==> an = -3(n-1)

==> an = -3n+3

so the final answer is [an = -3n + 3 ]

Sloan [31]2 years ago
5 0

Answer: i think it is -6 but im not sure I never learned this

Step-by-step explanation:

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Let P(-6, 4) be a point on rectangle PQRS. What are the coordinates (x, y) of P´ if the rectangle is dilated by a scale factor o
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Answer:

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3 years ago
How do I write Domain and Range in inequality notation?
ArbitrLikvidat [17]

Answer:

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Step-by-step explanation:

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3 years ago
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may not b
WINSTONCH [101]

Answer:

<em>(a) A 99% confidence interval for the actual mean noise level in hospitals is </em><em>(44.02 db, 49.98 db)</em><em>. </em>

<em>(b) We can be 90% confident that the actual mean noise level in hospitals is </em><em>47 db</em><em> with a margin of error of </em><em>1.89 db</em><em>. </em>

<em>(c) Unless our sample (of 81 hospitals) is among the most unusual 2% of samples, the actual mean noise level in hospitals is between </em><em>44.41 db and 49.59 db</em><em>. </em>

<em />

Step-by-step explanation:

<em>The problem is incomplete. The questions are:</em>

<em />

<em>(a) A 99% confidence interval for the actual mean noise level in hospitals is </em><em>(44.02 db, 49.98 db)</em><em>. </em>

For a 99% CI, the value of z is z=2.58

Then, the confidence interval for the mean is:

M-z\sigma/\sqrt{n}\leq\mu\leq M-z\sigma/\sqrt{n}\\\\47-2.58*10/\sqrt{75}  \leq\mu\leq47+2.58*10/\sqrt{75}\\\\47-2.98\leq\mu\leq47+2.98\\\\44.02\leq\mu\leq 49.98

<em>(b) We can be 90% confident that the actual mean noise level in hospitals is </em><em>47 db</em><em> with a margin of error of </em><em>1.89 db</em><em>. </em>

For a 90% CI, the value of z is z=1.64.

Then, we can calculate the margin of error as:

E=z*\sigma/\sqrt{n}=1.64*10/\sqrt{75}=1.89

<em>(c) Unless our sample (of 81 hospitals) is among the most unusual 2% of samples, the actual mean noise level in hospitals is between </em><em>44.41 db and 49.59 db</em><em>. </em>

The 2% tails data corresponds, in the standard normal distirbution, to the values of z whose absolute value is higher than 2.33.

The values of db for these critical values are:

X_1=M+z_1*\sigma/\sqrt{n}=47+(-2.33)*10/\sqrt{81}=47-2.59=44.41\\\\\\ X_2=M+z_2*\sigma/\sqrt{n}=47+(2.33)*10/\sqrt{81}=47+2.59=49.59

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