You want to estimate the average starting salary of San Jose
graduates. You call a random sample
of 200 students who graduated in the last two years. After
collecting the data, you are about to
calculate the 95% confidence interval when you remember that
incomes
are skewed to the right. Isn’t a 95% confidence interval based on a
normal curve? Was all your
work in vain? Explain, making reference to the assumptions required
for confidence intervals to
be valid.
SoL
For constructing confidence interval for mean
the sample to simple independent random sample
and sample follows normal distribution (n>30)
as for large smaple (n>30),according to central limit theorem,sample follows normal distribution
Independence Assumption
Random sampling
Sample size condition: n > 30
Here n=200
so given sample follows normal distribution as n>30
And given sample is random sample
95% confidence interval based on a normal curve so work is not in vain
we can calculate 95% confidence interval for average starting salary of San Jose graduates based on sample of 200 students who graduated in the last two years
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