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Test used to compare 2 or more proportions
(%) or to describe the
relationship/association between 2 variables
CHI-SQUARE TEST
Test used to compare 2 or more proportions
(%) or to describe the
relationship/association between 2 variables
CHI-SQUARE TEST
Test compares the observed frequencies (O) in
each cell with the expected frequencies (E)
under the null hypothesis
CHI-SQUARE TEST
no association/relationship or no significant difference exists between row and column variables IF the ________ frequency will be very close to the ______ frequencies (very small difference), and the resulting value of chi square test statistic is expected to be small
observed
expected
comparing 2 or more proportions (%)
Chi-square Test of homogeneity
determining the association between 2 qualitative variables
Chi-square Test of association/independence
df of chi square test
Df = (#rows – 1) x (#columns -1)
Chi square has no ____
negative values
Higher degrees of freedom, the curve moves to the right, higher SD =
wider curve
Used to determine whether or not two or more populations have the same proportions for the different categories of another variable
X2 Test of homogeneity
For X2 of homgeneity If used for 2 sample groups and the variable is ______, it can be used interchangeably with z-test (same hypotheses and conclusions)
dichotomous
For x2 of homegeneity Samples should be ________ and may be classified into 1 of 2 _____ categories (with or without characteristic)
independent
mutually exclusive
what X2 Test of homogeneity hypothesis is this?
The proportion of elements falling in each category of the variable of interest is the same for all the group
Null Hypothesis
what X2 Test of homogeneity hypotheses is this?
At least 2 of the population proportions are not equal. (Not all proportions are equal)
Alternative Hypotheses
Used to test for the existence of a relationship or association between 2 qualitative variables
X2 Test of association
X2 Test of association uses what samples?
random samples
Observations may be classified according to 2 variables
X2 Test of association
Data has 2x2 tables (2 variables with 2 groups/categories)
X2 Test of association
what X2 Test of association hypotheses is this ?
There is no association between the first variable and second variable (no relationship)
Null Hypotheses
what X2 Test of association hypotheses is this ?
There is an association between the first variable and second variable (no relationship)
Alternative Hypotheses
determining if there is significant difference of mean or proportion between comparison groups
Comparison
determining if there is a significant association/relationship between 2 variables
Association
in 2x2 (2 rows and 2 columns) tables:
expected frequencies should be ____________ 5 in all cells
greater than or equal to
if expected frequency is not satisfied for 2×2 tables what probability test should be used
Fisher’s Exact Probability Test
For larger tables All expected frequencies should be ________1
greater than or equal to
Not more than___ of the cells have expected frequencies less than 5, therefore at least ____ should have expected frequencies of ≥5
20%
80%