Business Statistics

A. Probability distribution

B. Relative frequency

C. Simple experiments

D. Errors

A. Each trial has two possible outcomes

B. The probability of a success on any trial remains fixed over time

C. The probability of success on any trial is equal to the probability of failure

D. Trials are statistically independent

A. 0.36

B. 0.180

C. 0.120

D. 0.130

A. Distribution of whole population

B. Correlation analysis

C. Normal average

D. Partial distribution

A. $$P\left( r \right) = \frac{{{e^{ - m}} \cdot {m^r}}}{{r!}}$$

B. $$P\left( r \right) = \frac{{{e^{ - m}}}}{{n + 1}}$$

C. $$P\left( r \right) = \frac{{e \times m}}{n}$$

D. $$P\left( r \right) = \frac{{n + 2}}{m} \times {e^{ - m}}$$

A. Planning

B. Communication

C. Company

D. Data processing

A. The curve has a single peak

B. The mean, median and mode lie at the centre of the normal curve

C. The two tails of the normal probability distribution never touch the horizontal axis

D. It is a distribution of discrete random variable

A. $$\frac{{\left( {p \times r} \right) - q - 1}}{2}$$

B. $$P\left( {x = r} \right) = {}^n{C_r}{q^{n - r}}{p^r}$$

C. $$\frac{{p - 1 - q}}{2}$$

D. $$\frac{{q - 1}}{p}$$

A. 5% level is not proper

B. Difference is not significant

C. Difference is significant

D. 95% level is significant

A. Bordington

B. C. H. Meyers

C. Prof. Chi-Square

D. Karl Pearson