Cases for which test Flashcards
Confidence Interval for Estimating a Population Proportion p
p^ +/- E
Where E = z_a/2 * sqrt( p^q^ / n)
Sample Size Required to Estimate a Population Proportion
With known sd (rare):
n = (z_a/2 ^2 * p^q^)/E^2
where E = desired margin of error
Confidence Interval for Estimating a Population Mean with S Not Known
x^bar +/- E
Where
x^bar = sample mean
E = margin of error defined as t_a/2*(s/sqrt(n))
s = sample variance
Sample Size Required to Estimate a Population Mean
n = ( (z_a/2 * sd) / E )^2
Where E = desired margin of error (given)
Confidence Interval for Estimating a Population Mean with S Known
x^bar +/- E
Where
x^bar = sample mean
E = margin of error defined as z_a/2*(sd/sqrt(n))
s = sample variance
Testing a Claim About a Population Proportion
x = successes p^ = x/n q^ = 1-p^ z = (p^ - p)/sqrt((p*q)/n)
important: p*q are not the hats
Testing Claims About a Population Mean (with S Not Known and known)
Not known:
t = (x^bar - mu_x) / (s/sqrt(n))
known:
replace s with sd
Test a claim about two population proportions or
p^bar = x1 + x2) / (n1 + n2
z = p^bar_1 - p^bar_2 ) - ( p_1 - p_2)
_________________________
sqrt( (p^barq^bar)/n_1 + (p^barq^bar)/n_2 )
Test through construct a confidence interval estimate of the difference
between two population proportions.
p^hat_1 - p^hat2 +/- E
where E =z_alpha/2 * sqrt( (p^barq^bar)/n_1 + (p^barq^bar)/n_2 )
if 0 is not in the CI, the proportions are not equal
Test of a claim about two independent population means
Test through confidence interval estimate of the difference between two independent population means.