In: Statistics and Probability
A data set lists earthquake depths. The summary statistics are n=600, x=6.41 km, s=4.84 km. Use a 0.01 significance level to test the claim of a seismologist that these earthquakes are from a population with a mean equal to 6.00. Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. What are the null and alternative hypotheses?
n = 600, = 6.41 km and s = 4.84 km
Here significane level = 0.01
Here we have to test the claim of a seismologist that these earthquakes are from a population with a mean equal to 6.00.
HYpothesis are
H0 : = 6.00
Ha : 6.00
standard error of sample mean = se = s/sqrt(N) = 4.84/sqrt(600) = 0.1976 km
As population standard deviation is not given so we should use t distribution but as sample size is too high so we can approximate the t distribution to Z distribution.
Critical value for alpha = 0.01 is
Zcritical = 2.575
Z = ( - 0)/se = (6.41 - 6.00)/0.1976 = 2.075
P - value = 2 * NORMSDIST(Z = 2.075) = 0.0380 > 0.01
so here Z < Zcritical so we would fail to to reject the null hypothesis so we would conclude that earthquakes are from a population with a mean equal to 6.00.