McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Master of Commerce (M.com) , Bachelor of Commerce (B Com) .
| 151. |
Mean deviation is |
| A. | a relative measures |
| B. | an absolute measures |
| C. | both (a) and (b) |
| D. | none of the above |
| Answer» B. an absolute measures | |
| 152. |
Interquartile range is the difference between |
| A. | the highest value and the lowest value |
| B. | median and mean |
| C. | the third quartile and the first quartile |
| D. | none of the above |
| Answer» C. the third quartile and the first quartile | |
| 153. |
The measures of dispersion can never be |
| A. | positive |
| B. | negative |
| C. | zero |
| D. | none of the above |
| Answer» B. negative | |
| 154. |
Which of the following is least when deviations are taken from the median |
| A. | range |
| B. | quartile deviation |
| C. | mean deviation |
| D. | standard deviation |
| Answer» C. mean deviation | |
| 155. |
Which average is affected most by extreme observation? |
| A. | Mode |
| B. | Median |
| C. | Geometric mean |
| D. | None of the above |
| Answer» B. Median | |
| 156. |
A geometric mean of two numbers 12 and 27 is |
| A. | 9 |
| B. | 12 |
| C. | 18 |
| D. | 21 |
| Answer» C. 18 | |
| 157. |
Statistics can be best considered as |
| A. | An art |
| B. | Science |
| C. | Both art as well as science |
| D. | None of the above |
| Answer» C. Both art as well as science | |
| 158. |
The total of all the observations divided by the number of observations is called |
| A. | Arithmetic mean |
| B. | Geometric mean |
| C. | Median |
| D. | Harmonic mean |
| Answer» A. Arithmetic mean | |
| 159. |
Lowest value of variance can be |
| A. | 1 |
| B. | -1 |
| C. | 2 |
| D. | 0 |
| Answer» D. 0 | |
| 160. |
The standard deviation and variance are _______ of origin? |
| A. | Multiplied |
| B. | Variance |
| C. | Independent |
| D. | None of the above |
| Answer» C. Independent | |
| 161. |
Statistics can be best considered as: |
| A. | a science |
| B. | an art |
| C. | both science as well as art |
| D. | neither science nor art |
| Answer» C. both science as well as art | |
| 162. |
Statistics is helpful in: |
| A. | formulating and testing hypothesis |
| B. | prediction |
| C. | formulation of suitable policies |
| D. | all of the above |
| Answer» D. all of the above | |
| 163. |
A set of vertical bars whose areas are proportional to the frequencies represented is known as: |
| A. | Histogram |
| B. | Frequency polygon |
| C. | Ogive |
| D. | none of the above |
| Answer» A. Histogram | |
| 164. |
The value in a series of observations which occurs with the greatest frequency is called: |
| A. | median |
| B. | mean deviation |
| C. | standard deviation |
| D. | mode |
| Answer» D. mode | |
| 165. |
What is the median of the sample 5, 5, 11, 9, 8, 5, 8? |
| A. | 5 |
| B. | 6 |
| C. | 8 |
| D. | 9 |
| Answer» C. 8 | |
| 166. |
Karl Pearson has expressed the relationship between Mean, Median, and Mode as: |
| A. | Mode = Mean – 3 [Mean – Median] |
| B. | Mode = 3 Median – 2 Mean |
| C. | Median = Mode + 2/3 [Mean – Mode] |
| D. | All of the above |
| Answer» D. All of the above | |
| 167. |
The average difference between the items in a distribution and the median or mean of that series is known as: |
| A. | Range |
| B. | Mean deviation |
| C. | Inter-quartile range |
| D. | Standard deviation |
| Answer» B. Mean deviation | |
| 168. |
If all the scores on examination cluster around the mean, the dispersion is said to be: |
| A. | Small |
| B. | Large |
| C. | Normal |
| D. | Symmetrical |
| Answer» A. Small | |
| 169. |
If two events cannot occur simultaneously at the same trial then they are |
| A. | dependent events |
| B. | independent events |
| C. | mutually exclusive events |
| D. | simple events |
| Answer» C. mutually exclusive events | |
| 170. |
If two events A and B are independent, the probability that they will both occur is given by |
| A. | P (A) + P (B) |
| B. | P (A) x P (B) |
| C. | P (A) – P (B) |
| D. | P (A) + P (B) – P (AB) |
| Answer» B. P (A) x P (B) | |
| 171. |
Those in which the occurence or non occurence of an event in any one trial affects the probability of other event in other trial. This is known as |
| A. | dependent event |
| B. | independent event |
| C. | complementary event |
| D. | exhaustive event |
| Answer» A. dependent event | |
| 172. |
If the probability of drawing a spade from a well shuffled pack of playing card is 14 then the probability that of the card drawn from a well shuffled pack of playing card is ‘not a spade’ is |
| A. | 1 |
| B. | 12 |
| C. | 14 |
| D. | 34 |
| Answer» D. 34 | |
| 173. |
The coefficient of correlation |
| A. | has no limit |
| B. | should be less than 1 |
| C. | should be more than 1 |
| D. | varies between -1 and +1 |
| Answer» D. varies between -1 and +1 | |
| 174. |
In a box, there are 8 red,7 blue and 6 green balls. One ball is picked up randomly. What is the probability that it is neither red nor green? |
| A. | 1/3 |
| B. | 3/4 |
| C. | 7/19 |
| D. | 9/21 |
| Answer» A. 1/3 | |
| 175. |
Probability sampling and random sampling are |
| A. | Anonymous |
| B. | Different terms |
| C. | Synonymous |
| D. | None of the above |
| Answer» C. Synonymous | |
| 176. |
Coefficient of correlation will be always |
| A. | More than 0 |
| B. | More than -1 |
| C. | Less than -1 |
| D. | Between -1 and +1 |
| Answer» D. Between -1 and +1 | |
| 177. |
We can measure the cause and effect relationship by the help of |
| A. | Time series analysis |
| B. | Cross-sectional analysis |
| C. | Correlation analysis |
| D. | Regression analysis |
| Answer» D. Regression analysis | |
| 178. |
The total events to throw three dice simultaneously is |
| A. | 6 |
| B. | 18 |
| C. | 21 |
| D. | 216 |
| Answer» D. 216 | |
| 179. |
Which of the following cannot be the probability of an event? |
| A. | 1.5 |
| B. | 3/5 |
| C. | 25% |
| D. | 0.3 |
| Answer» A. 1.5 | |
| 180. |
When the two regression lines are parallel to each other, then their slopes are |
| A. | Zero |
| B. | Different |
| C. | Same |
| D. | Positive |
| Answer» C. Same | |
| 181. |
In scatter diagram, if most of the points lie in the first and third quadrants, then coefficient of correlation is: |
| A. | Negative |
| B. | Positive |
| C. | Zero |
| D. | All the above |
| Answer» B. Positive | |
| 182. |
Rank correlation coefficient is also known as 10 |
| A. | Pearsonian Correlation Coefficient |
| B. | Pearson’s Correlation Coefficient |
| C. | Random Correlation Coefficient |
| D. | Spearman’s Correlation Coefficient |
| Answer» D. Spearman’s Correlation Coefficient | |
| 183. |
Correlation does not imply |
| A. | negative correlation |
| B. | cause-effect relationship |
| C. | relativity |
| D. | correction relationship |
| Answer» B. cause-effect relationship | |
| 184. |
The value of the correlation coefficient ranges from |
| A. | 0 to 1 |
| B. | -1 to 0 |
| C. | -1 to 1 |
| D. | 0 to 10 |
| Answer» C. -1 to 1 | |
| 185. |
If both the variables are varying in the same direction, the correlation is said to be |
| A. | Positive correlation |
| B. | Negative correlation |
| C. | Partial correlation |
| D. | None of the above |
| Answer» A. Positive correlation | |
| 186. |
When two events cannot occur simultaneously in a single trial it is called |
| A. | Mutually exclusive events |
| B. | Collectively exclusive events |
| C. | Mutually exhaustive events |
| D. | None of the above |
| Answer» A. Mutually exclusive events | |
| 187. |
When the outcome of one event does not affect the outcome of the other it is said to be |
| A. | Dependent event |
| B. | Independent event |
| C. | Mutually exclusive event |
| D. | Equally likely events |
| Answer» B. Independent event | |
| 188. |
Regression coefficient is independent of |
| A. | Origin |
| B. | Scale |
| C. | Both origin and scale |
| D. | None of the above |
| Answer» A. Origin | |
| 189. |
The slope of regression line of Y on X is also called the |
| A. | Correlation coefficient of Y on X |
| B. | Correlation coefficient of X on Y |
| C. | Regression coefficient of X on Y |
| D. | Regression coefficient of Y on X |
| Answer» D. Regression coefficient of Y on X | |
| 190. |
Two events that cannot be happened simultaneously is known as: |
| A. | Exhaustive events |
| B. | Independent events |
| C. | Mutually exclusive events |
| D. | none of the above |
| Answer» C. Mutually exclusive events | |
| 191. |
If two events A and B are mutually exclusive the probability of the occurrence of either A or B is the sum individual probability of A and B. This theorem is called: |
| A. | Multiplication theorem |
| B. | Addition theorem |
| C. | Classical probability |
| D. | Subtraction theorem |
| Answer» B. Addition theorem | |
| 192. |
One card is drawn from a standard pack of 52. What is the probability that the card drawn is a king? |
| A. | 4/52 |
| B. | 1/4 |
| C. | 1/52 |
| D. | 52/4 |
| Answer» A. 4/52 | |
| 193. |
A dice is thrown. Find the probability of getting an even number? |
| A. | 2/6 |
| B. | 3/6 |
| C. | 4/6 |
| D. | 5/6 |
| Answer» B. 3/6 | |
| 194. |
If both variables are varying in the opposite direction, it is called: |
| A. | Partial correlation |
| B. | Positive correlation |
| C. | High degree of correlation |
| D. | Negative correlation |
| Answer» D. Negative correlation | |
| 195. |
In perfect positive correlation: |
| A. | r = 0 |
| B. | r = -1 |
| C. | r = +1 |
| D. | r = +/- 1 |
| Answer» C. r = +1 | |
| 196. |
In regression analysis, the variable that is being predicted is the |
| A. | explained or dependentvariable |
| B. | independent variable |
| C. | intervening variable |
| D. | is usually x |
| Answer» A. explained or dependentvariable | |
| 197. |
The coefficient of correlation |
| A. | is the square of the coefficient of determination |
| B. | is the square root of the coefficient of determination |
| C. | is the same as r-square |
| D. | can never be negative |
| Answer» B. is the square root of the coefficient of determination | |
| 198. |
The total current year prices for the various commodities in question is divided by the total of base year prices and the quotient is multiplied under |
| A. | simple aggregative method |
| B. | simple average of relative method |
| C. | weighted aggregative method |
| D. | Laspeyres’ methos |
| Answer» A. simple aggregative method | |
| 199. |
Fishers’ index number is |
| A. | The median of Laspeyres’ and Paasches’ index |
| B. | The arithmetic mean of Laspeyres’ and Paasches’ index |
| C. | The geometric mean of Laspeyres and Paasches’ index |
| D. | The harmonic mean of Laspeyres’ and Paasches’ index |
| Answer» C. The geometric mean of Laspeyres and Paasches’ index | |
| 200. |
A component of time series used for short term forecast is |
| A. | trend |
| B. | seasonal |
| C. | cyclical |
| D. | irregular |
| Answer» A. trend | |
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