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5 votes
Assume the readings on thermometers are normally distributed with a mean of degrees and a standard deviation of 1.00degrees. Find the probability that a randomly selected thermometer reads greater than negative 0.69 and draw a sketch of the region.

asked
User Turbo J
by
8.3k points

1 Answer

5 votes

Answer:

Hence, the probability that randomly selected thermometer reads greater than negative 0.69 is 0.7549

Explanation:

Consider the provided information.

The readings on thermometers are normally distributed with a mean of degrees and a standard deviation of 1.00 degrees.

That means the value of σ = 1.

We need to find the probability that a randomly selected thermometer reads greater than negative 0.69

That means the value of mean is 0.

Normal distribution =
z=(x-\mu)/(\sigma)

Substitute the respective values as shown:

The probability should be greater that -0.6, Thus.

P(X>-0.6)=
(-0.69-0)/(1)=-0.69

Now use the standard normal table to find the value of P(Z>-0.69)

P(X>-0.6)=0.7549

Hence, the probability that randomly selected thermometer reads greater than negative 0.69 is 0.7549

The required region is shown in figure 1.

Assume the readings on thermometers are normally distributed with a mean of degrees-example-1
answered
User Ronan Thibaudau
by
8.8k points
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