The temperature of a solution will be estimated by taking n independent readings and averaging them. Each reading is unbiased, with a standard deviation of σ = 0.5°C. How many readings must be taken so that the probability is 0.90 that the average is within ±0.1◦C of the actual temperature? Round the answer to the next largest whole number.

Respuesta :

Answer:

68 readings.

Explanation:

We need to take this problem as a statistic problem where the normal distribution table help us.

We can start considerating that X is the temperature of the solution, then

[tex]0.9 = P(|\bar{x}-\mu|<0.1)[/tex]

[tex]0.9 = P(\frac{|\bar{x}-\mu|}{\frac{\sigma}{\sqrt{n}}}<\frac{0.1}{\frac{\sigma}{\sqrt{n}}})[/tex]

[tex]0.9 = P(|Z|<\frac{0.1}{\frac{\sigma}{\sqrt{n}}})[/tex]

For a confidence level of 90% our [tex]Z_{critic}[/tex] is 1.645

Therefore,

[tex]\frac{0.1}{\frac{\sigma}{\sqrt{n}}} = 1.645[/tex]

Substituting for [tex]\sigma = 5[/tex] and re-arrange for n, we have that n is equal to

[tex]n=(\frac{1.645\sigma}{0.1})^2[/tex]

[tex]n=\frac{(1.645)^2(0.5)^2}{0.1^2}[/tex]

[tex]n=67.65[/tex]

[tex]n=68[/tex]

We need to make 68 readings for have a probability of 90% and our average is within [tex]0.1\°\frac[/tex]