Business Statistics

A. $${\chi ^2} = \frac{{N{{\left[ {\left( {ad - bc} \right) - \frac{1}{2}N} \right]}^2}}}{{\left( {a + c} \right)\left( {b + d} \right)\left( {a + b} \right)\left( {c + d} \right)}}$$

B. $${\chi ^2} = \frac{{\left( n \right)\left( {\sigma _s^2} \right)}}{{\sigma _0^2}}$$

C. $${\chi ^2} = \frac{{\sum {{\left( {{O_f} - {E_f}} \right)}^2}}}{{\sum f}}$$

D. None of the above

A. Quota sampling

B. Snow ball sampling

C. Stratified sampling

D. Judgement sampling

A. Secondary data is least helpful to develop questionnaires

B. Secondary data is least helpful to formulate hypothesis

C. Secondary data is least helpful in interpreting results

D. Secondary data is least helpful in evaluating new products

A. null hypothesis

B. true hypothesis

C. alternate hypothesis

D. rejected hypothesis

A. Type I

B. Type II

C. Both A and B

D. None of these

A. Control information

B. Knowledge information

C. Action Vs. no-action information

D. All of the above

A. EOQ

B. CPM

C. PERT

D. BEP

A. Graphical model

B. Logical model

C. Conceptual model

D. All of the above

A. Sequential in nature

B. Exceedingly complex due to risks and trade offs

C. Influenced by personal values

D. All of the above

A. regression analysis

B. correlation analysis

C. probability

D. error