Question #258497

The following measurements were recorded for the drying time, in hours, of a certain brand of latex paint:


3.4 2.5 4.8 2.9 3.6

2.8 3.3 5.6 3.7 2.8

4.4 4.0 5.2 3.0 4.8


Assuming that the measurements represent a random sample from a normal population, find a 95% prediction interval for the drying time for the next trial of the paint.


1
Expert's answer
2021-11-01T08:47:41-0400

Lets mark u' as prediction interval

u=(uCrs,u+Crs)u' = (u-Cr*s, u+Cr*s) , where u - sample mean, Cr - testing critical value, s - sample standart deviation

u=3.4+...+4.815=56.815=3.79u = {\frac {3.4+...+4.8} {15}}={\frac {56.8} {15}}=3.79

s2=(3.43.79)2+...+(4.83.79)214=0.986s=0.993s^2={\frac {(3.4-3.79)^{2}+...+(4.8-3.79)^{2}} {14}}=0.986\to s=0.993

Since the sample population has normal distribution, it is appropriate to calculate critical value using t-statistic with 15 - 1 = 14 degrees of freedom

P(t(14)>Cr)=a2=0.025P(t(14) > Cr) = {\frac a 2}=0.025 , where a - level of significance. We use a2{\frac a 2} cause we need a two-sided test

Now the value of the Cr can be found from tables of t-statistic

Сr = 2.145

So, uCrs=3.792.1450.93=1.66u-Cr*s=3.79-2.145*0.93=1.66 , u+Crs=5.92u+Cr*s=5.92

The 95% prediction interval is (1.66, 5.92)


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