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Whitepunk [10]
3 years ago
11

A thermometer is taken from a room where the temperature is 23oC to the outdoors, where the temperature is −9oC. After one minut

e the thermometer reads 15oC.
(a) What will the reading on the thermometer be after 4 more minutes?
(b) When will the thermometer read −8oC?
Mathematics
1 answer:
Helga [31]3 years ago
3 0

Answer:

(a)\ 15\textdegree C\\(b)\ After\ 3\ minutes\ and\ 52.5\ Seconds\ from\ start

Step-by-step explanation:

Temperature in the room =23\textdegree C

Decrease in the temperature(outdoors)=23-15=8\textdegree C in 1\ minute.

Rate of decrease=8\textdegree C/minute

Let\ after\ x\ minutes\ temperature\ is\ y\\y=23-8x\ \ \ \ y\geq -9\textdegree C

(a) After 4\ more\ minutes\ total\ time\ is=1+4=5\ minutes

y=23-5\times 8\\y=-17\\

But it is not possible as outdoor temperature is -9\textdegree C so after -9\textdegree C temperature decrease will not occur.

Hence after 4 more minutes temperature=-9\textdegree C

(b) Let after t\ minutes temperature is -8\textdegree C

Here x=t,\ y=-8\textdegree C

-8=23-8x\\8x=23+8\\8x=31\\x=\frac{31}{8}\\x=3.875\ minutes=3\ minutes\ and\ 52.5\ seconds

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Answer:

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Step-by-step explanation:

The main thing we have to take into account in this question is that we are about to find the probability of a <em>sample mean</em>. The distribution for <em>sample means</em> follows a <em>normal distribution</em> with mean \\ \mu and standard deviation \\ \frac{\sigma}{\sqrt{n}}. Mathematically

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\\ z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}} [1]

That is

\\ z \sim N(0, 1)

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\\ \mu = 530

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The sample mean is \\ \overline{x} = 533.2

With all this information, we can solve the question

The probability that the mean battery life would be greater than 533.2 minutes

Using equation [1]

\\ z = \frac{\overline{x} - \mu}{\frac{\sigma}{\sqrt{n}}}

\\ z = \frac{533.2 - 530}{\frac{58}{\sqrt{75}}}

\\ z = \frac{3.2}{\frac{58}{8.66025}}

\\ z = \frac{3.2}{6.69726}

\\ z = 0.47780

With this value of z we can consult a <em>cumulative standard normal table</em> (or use some statistic program) to find the cumulative probability for <em>z</em> (and remember that this variable follows a standard normal distribution).

Most standard normal tables have values for z for only two decimals, so we can round the previous value for z as z = 0.48.

Then

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However, in the question we are asked for \\ P(z>0.48) = P(x>533.2). As well as all normal distributions, the standard normal distribution is symmetrical around the mean, and we have

\\ P(z>0.48) = 1 - P(z

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Rounding to four decimal places, we have

\\ P(z>0.48) = 0.3156

So, the probability that the mean battery life would be greater than 533.2 minutes is (in a sample of 75 batteries) \\ P(z>0.48) = P(x>533.2) = 0.3156.

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