HYPOTHESIS:
H: 1= quality and price have a significant relationship in gaining competitive advantage in agro industries.
H: 0= quality and price have no relationship in gaining competitive advantage in agro industries.
Hypothesis for Pearson Chi-Square:
H0 (Null hypothesis): Variable “The pricing policy of the Bay Agro” and “Ranking based on best packing, grading & counting standards” are independent.
H1 (Alternative hypothesis): Variable “The pricing policy of the Bay Agro” and “Ranking based on best packing, grading & counting standards” are dependent.
H0 (Null hypothesis): Variable “Rate of mortalities at farms under normal circumstances” and “Protection level of the Bay Agro against the “Bird flu” virus” are independent.
H1 (Alternative hypothesis): Variable “Rate of mortalities at farms under normal circumstances” and “Protection level of the Bay Agro against the “Bird flu” virus” are dependent.
H0 (Null hypothesis): Variable “Facing any problem in transportation” and are “The cost / responsibility for delivery” independent.
H1 (Alternative hypothesis): Variable “Facing any problem in transportation” and are “The cost / responsibility for delivery” dependent.
H0 (Null hypothesis): Variable “After sale service’ quality” and are “Probability of continuing business with Bay Agro” independent.
H1 (Alternative hypothesis): Variable “After sale service’ quality” and are “Probability of continuing business with Bay Agro” dependent.
Hypothesis for ANOVA:
H0 (Null hypothesis): Model is not adequate.
H1 (Alternative hypothesis): Model is adequate.
Hypothesis for Coefficients:
H0 (Null hypothesis): βi = 0 [This independent variable is not a significant predictor of the dependent.]
H1 (Alternative hypothesis): βi ≠ 0 [This independent variable is a significant predictor of the dependent.]
Hypothesis for Correlations:
H0 (Null hypothesis): ρ = 0 [There is NO actual correlation]
H1 (Alternative hypothesis): ρ ≠ 0 [There is a correlation]
