Single entry system contains:
Single entry system contains:
ledger accounts for individual customers and creditors | |
all of above | |
a day book of general journal | |
a cashbook |
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User login
Under single entry system sometimes:
Under single entry system sometimes:
no aspect of a transaction is recorded | |
all of these | |
double aspects of a transaction are recorded | |
single aspect of a transaction is recorded |
Arithmetically accuracy of facts of accounts can’t be checke
Arithmetically accuracy of facts of accounts can’t be checked under:
Double entry system | |
Single entry system | |
Partnership | |
Non-trading concern |
Net worth is equal to:
Net worth is equal to:
capital + assets | |
liabilities-assets | |
liabilities + capital | |
assets-liabilities |
Single Entry System is suitable for:
Single Entry System is suitable for:
Partnership | |
Joint stock company | |
all these | |
Sole proprietorship |
Normal distribution is a limiting from of:
Normal distribution is a limiting from of:
Hypergeometric distribution | |
Binomial distribution | |
F-distribution | |
χ2- distribution |
For the standard normal distribution Pz > mean: is:
For the standard normal distribution Pz > mean: is:
Equal to 0.5 | |
Less than 0.5 | |
Equal to one | |
More than 0.5 |
In a standardized normal distribution variance is:
In a standardized normal distribution variance is:
σ2 | |
1 | |
0 | |
π |
In a standardized normal distribution mean is:
In a standardized normal distribution mean is:
1 | |
0 | |
µ | |
π |
If Z is N0, 1:, then P−2≤Z≤2:P−2≤Z≤2: is equal to:
If Z is N0, 1:, then P−2≤Z≤2:P−2≤Z≤2: is equal to:
0.9545 | |
0.98 | |
0.99 | |
0.95 |
In a N0.1:, µ4 is equal to:
In a N0.1:, µ4 is equal to:
3434 | |
1212 | |
1 | |
3 |
If Z is N0,1:, then P−2.58≤Z≤2.5:P−2.58≤Z≤2.5: is equal to:
If Z is N0,1:, then P−2.58≤Z≤2.5:P−2.58≤Z≤2.5: is equal to:
0.99 | |
0.9973 | |
0.9545 | |
0.95 |
If Z is N0.1:, then P−1.96≤Z≤1.96:P−1.96≤Z≤1.96: is equal to:
If Z is N0.1:, then P−1.96≤Z≤1.96:P−1.96≤Z≤1.96: is equal to:
0.95 | |
0.9973 | |
0.99 | |
0.9545 |
∫+∞−∞fx:∫−∞+∞fx: dx is always equal to:
∫+∞−∞fx:∫−∞+∞fx: dx is always equal to:
fx: + 1 | |
EX: | |
One | |
Zero |
The semi-inter quartile range in the normal distribution is given by:
The semi-inter quartile range in the normal distribution is given by:
0.6745 σ | |
0.329 σ | |
0.7979 σ | |
314 σ |
In normal distribution all odd order moments are equal to:
In normal distribution all odd order moments are equal to:
Three | |
Additive | |
One | |
Zero |
In a normal distribution µ = 10 and σ2 = 25. The mode is:
In a normal distribution µ = 10 and σ2 = 25. The mode is:
10 | |
25 | |
100 | |
5 |
The relation between Standard Deviation Sand Quartile Deviation Q.D.: of a normal distribution is:
The relation between Standard Deviation Sand Quartile Deviation Q.D.: of a normal distribution is:
S.D. = Q.D. | |
SD < Q.D. | |
SD > QD | |
none |
The coefficient of skewness of a normal distribution is:
The coefficient of skewness of a normal distribution is:
positive | |
zero | |
both positive and negative | |
negative |
In a Nµ, σ2:, β2 is equal to:
In a Nµ, σ2:, β2 is equal to:
3 σ4/4 | |
3 | |
σ4/2 | |
3 σ4 |