SSC CGL Tier 2 28th January 2022 Statistics

$$\frac{14}{81}$$

$$\frac{8}{91}$$

$$\frac{7}{72}$$

$$\frac{7}{64}$$

represent sign for the null hypothesis of ANOVA

can be very deceptive. You should not be looking at box plots in this setting.

provide no sign for, or against, the null hypothesis of ANOVA

represent sign against the null hypothesis of ANOVA

trend is linear

trend is logarithmic

trend is periodic

trend is exponential

3.67

2.67

1.67

0.67

Gamma distribution

Normal distribution

Log-normal distribution

Chi-squared distribution

$$\frac{6}{13}$$

$$\frac{1}{4}$$

$$\frac{2}{9}$$

$$\frac{3}{7}$$

$$P\left(A_{1}\right) + P\left(A_{2}\right) + P\left(A_{3}\right) - P\left(A_{1}PA_{2}PA_{3}\right) $$

$$P\left(A_{1}\right)P\left(A_{2}\right) + P\left(A_{2}\right)P\left(A_{3}\right) + P\left(A_{3}\right)P\left(A_{1}\right)$$

$$P\left(A_{1}\right) + P\left(A_{2}\right) + P\left(A_{3}\right)$$

$$P\left(A_{1}\right)P\left(A_{2}\right)P\left(A_{3}\right)$$

Edge-Worth Marshal index number does nor satisfy factor reversal test and circular test of consistency.

Edge-Worth-Marshal index number does not satisfy the circular test of consistency.

Edge-Wotth-Marsha1 index number does not satisfy factor reversal test.

Edge-Worth-Marshal index number satisfies factor reversal test and time reversal test of consistency.

$$\frac{3}{5}$$

$$\frac{1}{5}$$

$$\frac{2}{5}$$

$$\frac{4}{5}$$

108

32

80

64