QIM 511 SPSS : Chi-Square Test. Presented By : ang ling poh ong mei yean soo pei zhi. Nonparametric Techniques. Is used when having serious violations of distribution assumptions or not normal Appropriate for data measured on scales that are not interval or ratio.
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SPSS: Chi-Square Test
Color preference of 150 people, p < 0.05
Color preference of 150 people
2 = Chi-square
O = Observed frequency
E = Expected frequency
k = number of categories, groupings, or possible outcomes
2 = 26.95
df = N – 1
= 5 – 1
2 = 26.95 , df = 4 , p < 0.05
Incidence of three types of malaria in three tropical regions.
H0 : The two categorical variables are independent.
H1. : The two categorical variables are related.
e = expected frequency
c = frequency for that column
r = frequency for that row
n = total number of subjects in study
90 x 86
2 = 125.516
df = (r-1)(c-1)
r = number of categories in the row variable
c = number of categories in the column variable
2 = 125.516 , df = 4 , p < 0.05
Chi-square value is bigger than critical chi-square value, reject null hypothesis.