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Statistics for Management
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Course Name
MBA (Master of Business Administration)
Subject Code MB0024 (Statistics for Management )
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PART - A
PART - B
PART - C
Subject : Statistics for Management
MB0024 : PART - A
| Q. 1 | _____ survey is a small trial survey (survey of a few
units) undertaken before the main survey is conducted |
| | A) | Pre |
| B) | Proto | | C) | Pilot | | D) | Prototype | | | | | Q. 2 | _____ tests enable us to test whether more than
two population proportions can be considered equal |
| | A) | Chi-square |
| B) | F | | C) | Variance Ratio | | D) | Hypothesis | | | | | Q. 3 | Frequency distribution of a single variable is called
_____ frequency distribution |
| | A) | Univariate |
| B) | Multivariate | | C) | Bivariate | | D) | All of the above | | | | | Q. 4 | _____ is/are used to measure the strength of
relationships between variable |
| | A) | Correlation |
| B) | Regression | | C) | Both A) and B) | | D) | None of the above | | | | | Q. 5 | When the probability of the occurrence of an event
is dependent on, or effected by in some way the
occurrence of another event or some other event, then
the events are known to be _____ |
| | A) | Mutually Exclusive |
| B) | Independent | | C) | Statistically Dependent | | D) | None of the above | | | | | Q. 6 | T\here are _____ percentiles for a frequency
distribution |
| | A) | 4 |
| B) | 16 | | C) | 99 | | D) | 100 | | | | | Q. 7 | _____ is used in testing the goodness of fit of a
theoretical distribution |
| | A) | a2 |
| B) | x2 | | C) | y2 | | D) | z2 | | | | | Q. 8 | ANOVA stands for |
| | A) | Analysis over variable |
| B) | Analysis of variable | | C) | Analysis over variance | | D) | Analysis of variance | | | | | Q. 9 | Whenever we reject the hypothesis, the conclusion
we do accept is called the _____ hypotheseis |
| | A) | Null |
| B) | Zero | | C) | Choice | | D) | Alternative | | | | | Q. 10 | _____ assumes a constant percentage increase each
year |
| | A) | Arithmetic trend |
| B) | Semi Log trend | | C) | Modified Exponential Curve | | D) | Logistic Curve | | | |
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