Hypothesis of Bay Agro Industries Ltd

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]

HYPOTHESIS