HYPOTHESIS TESTING Flashcards
t is a statistical method that is used in making statistical
decisions using experimental data.
HYPOTHESIS TESTING
an assumption that make about the population parameter
HYPOTHESIS TESTING
PIONEERS OF HYPOTHESIS TESTING
RONALD A FISHER
JERZY NEYMAN
KARL PEARSON
EGON S PEARSON
a conjecture about the population
parameter. This conjecture may or may not be true.
STATISTICAL HYPOTHESIS
TWO TYPES OF STATISTICAL HYPOTHESIS
NULL HYPOTHESIS
ALTERNATIVE HYPOTHESIS
symbolized by H0, it is statistical hypothesis
testing that assumes that the observation is due to a chance factor
NULL HYPOTHESIS
Denoted by H0 = m1=m2 , which shows that there is no
difference between the two population means(or parameters)
NULL HYPOTHESIS
symbolized by H1, is the opposite of the
null hypothesis; it shows that observations are the result of a real
effect. It states that there is a difference between two population
means (or parameters)
ALTERNATIVE HYPOTHESIS
the degree of significance in
which we accept or reject the null hypothesis.
LEVEL OF SIGNIFICANCE
a value that separates the critical region from the
non critical region
CRITICAL VALUE
is the range of the values of the
test value that indicates that there is significant difference and the
null hypothesis ( should be rejected.
CRITICAL REGION OR REJECTION REGION
the range of the values of the
test value that indicated the difference was probably due to
chance and that the null hypothesis should not be rejected.
NONCRITICAL OR NONREJECTION REGION
shows that H0 should be rejected when test
value is in the critical region on one side of the mean.
* It may be either a right-tailed test or left-tailed test, depending on the
direction of the inequality of the alternative hypothesis
ONE TAILED TEST
H0 should be rejected when the test value is in
either of the two critical regions.
TWO TAILED TEST
It is used when n>or+=30 or when the population is normally
distributed and population standard deviation is known.
ONE SAMPLE Z-TEST
