List I | List II | ||
A. | Marshall Edgeworth's Index Number | I. | \(\frac{\sum p_1q_0}{\sum p_0q_0}\times100\) |
B. | Laspeyre's Index Number | II. | \(\sqrt{\frac{\sum p_1q_0}{\sum p_0q_0}\times\frac{\sum p_1q_1}{\sum p_0q_1}}\times100\) |
C. | Fisher's Ideal Index Number | III. | \(\frac{\sum p_1q_1}{\sum p_0q_1}\times100\) |
D. | Paasche's Index Number | IV. | \(\frac{\sum p_1(q_0+q_1)}{\sum p_0(q_0+q_1)}\times100\) |
List-I | List-II |
---|---|
(A) Distribution of a sample leads to becoming a normal distribution | (I) Central Limit Theorem |
(B) Some subset of the entire population | (II) Hypothesis |
(C) Population mean | (III) Sample |
(D) Some assumptions about the population | (IV) Parameter |
Class : | 4 – 6 | 7 – 9 | 10 – 12 | 13 – 15 |
Frequency : | 5 | 4 | 9 | 10 |