In: Statistics and Probability
Consider eruptions of Old Faithful geyser in Yellowstone National Park. The distribution of eruptions is said to be roughly normal and based on a study done in the park in 2011 has a mean time between eruptions of 93 minutes with a standard deviation of 9.5 minutes.
A)Suppose we are still studying 60 eruptions and we want to know what the longest 5% of mean times between eruptions would be. What average time would put us in the longest 5%?
B)How would your previous answer change if we were only studying 20 eruptions?
C)If we study 45 eruptions, what is the chance that a mean eruption time would differ from the true mean by less than 5 minutes?
D)If we study 45 eruptions, what is the chance that a mean eruption time would differ from the true mean by less than 1 minute?
a)
mean μ= | 93 |
standard deviation σ= | 9.5000 |
sample size =n= | 60 |
std error=σx̅=σ/√n= | 1.226 |
as longest 5% will fall on 95th percentile ; therefore
for 95th percentile critical value of z= | 1.645 | ||
therefore corresponding value=mean+z*std deviation= | 95.02 minutes |
b)
sample size =n= | 20 |
std error=σx̅=σ/√n= | 2.124 |
for 95th percentile critical value of z= | 1.645 | ||
therefore corresponding value=mean+z*std deviation= | 96.49 minute |
c)
for normal distribution z score =(X-μ)/σx | |
here mean= μ= | 93 |
std deviation =σ= | 9.5000 |
sample size =n= | 45 |
std error=σx̅=σ/√n= | 1.4162 |
probability = | P(88<X<98) | = | P(-3.53<Z<3.53)= | 0.9998-0.0002= | 0.9996 |
d)
probability = | P(92<X<94) | = | P(-0.71<Z<0.71)= | 0.7611-0.2389= | 0.5222 |