# Research Methods and Bio-statistics MCQ Questions and Answers Part – 1

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Research Methods and Bio-statistics MCQ Questions and Answers Part – 1

Research Methods and Bio-statistics MCQ Questions and Answers Part – 2

Research Methods and Bio-statistics MCQ Questions and Answers Part – 3

1. First step of an investigation is _________ .
A. collection of data.
B. presentation of data.
C. analysis of data.
D. explanation of data.
2. Diagrams are for _________________
A. the use of exports.
B. better quantitative picture.
C. better mental appeal
D. the use of imports.
3. The best measure of central tendency is ______________.
A. arithmetic mean.
B. geometric mean.
C. harmonic mean.
D. mode.
4. The sum of absolute deviations about median is ___________.
A. the least
B. the greatest
C. zero
D. equal
5. Skewness is positive when mean is ___________.
A. greater than mode.
B. less than mode.
C. equal to mode.
D. negative.
6. When the value of r=+1, the correlation is ____________.
A. negative.
B. postitive.
C. perfect positive.
D. perfect negative.
7. When the value of r=-1, the correlation is _____________.
A. negative.
B. positive.
C. perfect positive.
D. perfect negative.
8. When the value of r=0, it is said to be ___________.
A. no correlation.
B. positive.
C. perfect positive.
D. perfect negative.
9. A grouped distribution can be represented by __________.
A. Frequency polygon.
B. Histogram.
C. Frequency curve.
D. Ogives.
10. The regression lines helps to find the __________
A. average of x and y.
B. average of x only.
C. average of y only.
D. the median of x and y
11. Subdivided bar diagram can be prepared on percentage basis _____________.
A. always.
B. never.
C. sometimes.
D. at a particular time.
12. Positively skewed distribution is ____________.
A. symmetrical
B. asymmetrical
C. both
D. none
13. In a positively skewed distribution mean>median is ____________.
A. lesser than mode
B. equal to mode
C. greater than mode
D. none
14. The straight line trend is represented by the equation ____________.
A. y=a+bx
B. y=mx
C. y=ax/ay
D. y=a*bx
15. Standard deviation is the _________ of variation.
A. least measure.
B. best measure.
C. average.
D. none of the above.
16. In discrete and continuous frequency distributions N= ___ .
A. the sum of frequency.
B. number of observations.
C. minimum value.
D. maximum value.
17. .Mid point is equal to _____________.
A. upper limit-lower limit.
B. upper limit+lower limit.
C. (Upper limit + lower limit)/2
D. (Upper limit + lower limit)/4
18. The value of median from the following data is ____________. 1100, 1150, 1080, 1120, 1200, 1160, 1400
A. 1100.
B. 1150.
C. 1400.
D. 1340.
19. The value of median from the following data is _____________. 391, 384, 591, 407, 672, 522, 777, 753,
2488, 1490.
A. 384
B. 591
C. 753
D. 522
20. The mode of the following series is __________. 3,5,8,5,4,5,9,3.
A. 3.
B. 5.
C. 4.
D. 0.
21. The standard deviation measures the absolute ___________.
A. dispersion.
B. average.
C. skewness.
D. kurtosis.
22. The standard deviation is extremely useful in judging the representativeness of the ___________ .
A. dispersion.
B. mean.
C. skewness.
D. kurtosis.
23. __________ is used to compare the variability of two or more than two series.
A. mean.
B. Standard deviation.
C. Coefficient of variation.
D. Mean deviation.
24. _________ analysis deals with the association between two or more variables.
A. correlation.
B. regression.
C. skewness.
D. kurtosis
25. __________ is an analysis of the co -variation between two or more variables.
A. dispersion.
B. average.
C. correlation
D. regression
26. The simplest device for ascertaining whether two variables are related is to prepare a dot chart is called
__________ .
A. graphical method.
B. scatter diagram method.
C. method of least square.
D. concurrent deviation method.
27. The coefficient of correlation is said to be a measure of ___________ between two series.
A. covariance.
B. mean.
C. variance.
D. standard deviation.
28. The spearman rank correlation coefficient is a___________ measure of rank correlation.
A. parametric
B. non-parametric
C. linear
D. non-linear
29. The regression equation of x on y is expressed as ___________.
A. y=a+b.
B. y=ab.
C. y=a+bx.
D. y = a/bx.
30. The regression equation of y on x is expressed as ___________.
A. x=a+b.
B. x=ab.
C. x=a+by.
D. x = a/bx.
31. If two regression coefficients are 0.8 and 0.6 the value of the coefficient of correlation is __________
A. 0.917.
B. 0.899.
C. 0.789.
D. 0.693
32. The coefficient of correlation value ranges between ___________.
A. o & 1
B. -1 & 1
C. -1 & 0
D. none
33. A bag contains 10 black and 20 white balls, a ball is drawn at random. What is the probability that it is
black?
A. 1/2
B. 1/3
C. 0.
D. 3.
34. Two events are said to be _________when both cannot happen simultaneously in a single trial.
A. Mutually exclusive events.
B. Exhaustive events.
C. Equally likely events.
D. Independent events.
35. Two events are said to be ________ when the outcome of one does not affect, and is not affected by the
other.
A. Dependent.
B. Exhaustive events.
C. Equally likely events.
D. Independent.
36. _______ events are those in which the occurrence or non-occurrence of one event in any one trial affects
the probability of other events in other trials.
A. Dependent.
B. Exhaustive events.
C. Equally likely events.
D. Independent.
37. Events are said to be ________ when one does not occur more often than the others.
A. Mutually exclusive events.
B. Exhaustive events.
C. Equally likely events.
D. Independent
38. Events are said to be _______when their totality includes all the possible outcomes of a random
experiment.
A. Dependent.
B. Exhaustive events.
C. Equally likely events.
D. Independent.
39. Simultaneous occurrence of two events A and B is generally written as ______.
A. A / B.
B. A + B.
C. A – B.
D. AB.
40. The set S of all possible outcomes of given experiment is called the __________of the experiment.
A. Sample space.
B. Exhaustive events.
C. Total number of events.
D. Elementary events.
41. The addition theorem states that if two events A and B are mutually exclusive the probability of the
occurrence of either A or B is the sum of the individual probability of A and B. Symbolically____.
A. P ( A or B ) = P(A) + P(B) .
B. P ( A or B ) = P(A) + P(B) – P(AB).
C. P ( A or B ) = P(A) – P(B).
D. P ( A or B ) = P(A)/ P(B).
42. One card is drawn from a standard pack of 52. What is the probability that it is either a king or queen?
A. 2/13 .
B. 1/13.
C. 3/13.
D. 4/13.
43. Probability of picking a card that is either a heart or a spade is _______.
A. 7/2 .
B. 5/2.
C. 1/2.
D. 3/2.
44. What is the probability of picking a card that is red or black?
A. 1
B. 2
C. 0.
D. 1/2.
45. A bag contains 8 white and 4 red balls. Five balls are drawn at random. What is the probability that 2 of
them are red and 3 white?
A. 0.555 .
B. 0.424.
C. 0.765.
D. 0.987.
46. A bag contains 6 white, 4 red and 10 black balls. Two balls are drawn at random. What is the probability
that they will be both black?
A. 0.432 .
B. 0.575.
C. 0.732.
D. 0.237.
47. A ___________ process is a process wherein an experiment is performed repeatedly.
A. Binomial..
B. Poisson.
C. Normal.
D. Bernoulli.
48. The mean of binomial distribution is________.
A. np.
B. npq.
C. np/q.
D. npq(q-p).
49. A coin is tossed six times. What is the probability of obtaining four or more heads?
A. 0.344.
B. 0.444.
C. 0.544.
D. 0.644.
50. A Poisson distribution is a _________probability distribution.
A. discrete
B. continuous.
C. Normal.
D. random.  