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mart [117]
3 years ago
12

I really need help with this.

Mathematics
1 answer:
Studentka2010 [4]3 years ago
7 0

9514 1404 393

Answer:

  72, 96

Step-by-step explanation:

6 and 8 are already multiples of 2. The prime factorization of these numbers is ...

  6 = 2×3

  8 = 2³

The least common multiple of these numbers must have factors of 2³ and 3. That number is ...

  2³×3 = 24

Multiples of 24 less than 150 are ...

  24, 48, 72, 96, 120, 144

Of these, the values in the range of interest are 72 and 96.

Ravi could choose 72 or 96.

_____

72 = 2×36 = 6×12 = 8×9

96 = 2×48 = 6×16 = 8×12

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Answer:

a) The sample mean is of 49 and the sample standard deviation is of 11.7.

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Step-by-step explanation:

Question a:

Sample mean:

\overline{x} = \frac{34+40+46+49+61+64}{6} = 49

Sample standard deviation:

s = sqrt{\frac{(34-49)^2+(40-49)^2+(46-49)^2+(49-49)^2+(61-49)^2+(64-49)^2}{5}} = 11.7

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b)Determine the range of the true mean at 90% confidence level.

We have to find the margin of error of the confidence interval. Since we have the standard deviation for the sample, the t-distribution is used.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 6 - 1 = 5

90% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 5 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.9}{2} = 0.95. So we have T = 2.0.150

The margin of error is:

M = T\frac{s}{\sqrt{n}}

In which s is the standard deviation of the sample and n is the size of the sample. So

M = 2.0150\frac{11.7}{\sqrt{6}} = 9.62

The range of the true mean at 90% confidence level is of 9.62 hours.

(c)If a seventh sample is tested, what is the prediction interval (90% confidence level) of its failure time.

This is the confidence interval, so:

The lower end of the interval is the sample mean subtracted by M. So it is 49 - 9.62 = 39.38 hours.

The upper end of the interval is the sample mean added to M. So it is 49 + 9.62 = 58.62 hours.

The prediction interval, at a 90% confidence level, of it's failure time is between 39.38 hours and 58.62 hours.

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