Hypothesis Testing Flashcards
The hypothesis that the researcher wants to reject
Null hypothesis
The hypothesis that the researcher hopes is true
Alternate hypothesis
Hypotheses for two-tailed test
Ho: μ = μo
Ha: μ ≠ μo
Hypotheses for one-tailed tests
Ho: μ = μo
Ha: μ > μo
or
Ho: μ =/> μo
Ha: μ < μo
Test statistic formula
= s - μ / standard error
The rejection of the null hypothesis when it is actually true
Type I error
The acceptance of the null hypothesis when it is actually false
Type II error
The probability of rejecting the null when it is false
The power of the test = 1 - P(Type II error)
The smallest significance level for which the hypothesis would be rejected
p-value
Use of t-statistic v. z-statistic
t = unknown population variance, less than 30 samples
z = known population variance
A test concerned with the mean and the differences between paired observations of two dependent, normally distributed samples
Paired comparisons test
t = d-bar / s d-bar
D-bar = the average difference of the n paired observations
Test of a hypothesis about the population variance for a normally distributed population
chi-square test, n-2 degrees of freedom
Test comparing two variances based on independent samples from two normally distributed populations
f-test, F = s2 / s1 where the largest variance is the numerator