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.

ANSWER: A

2. Diagrams are for _________________

A. the use of exports.

B. better quantitative picture.

C. better mental appeal

D. the use of imports.

ANSWER: B

3. The best measure of central tendency is ______________.

A. arithmetic mean.

B. geometric mean.

C. harmonic mean.

D. mode.

ANSWER: A

4. The sum of absolute deviations about median is ___________.

A. the least

B. the greatest

C. zero

D. equal

ANSWER: C

5. Skewness is positive when mean is ___________.

A. greater than mode.

B. less than mode.

C. equal to mode.

D. negative.

ANSWER: A

6. When the value of r=+1, the correlation is ____________.

A. negative.

B. postitive.

C. perfect positive.

D. perfect negative.

ANSWER: C

7. When the value of r=-1, the correlation is _____________.

A. negative.

B. positive.

C. perfect positive.

D. perfect negative.

ANSWER: D

8. When the value of r=0, it is said to be ___________.

A. no correlation.

B. positive.

C. perfect positive.

D. perfect negative.

ANSWER: A

9. A grouped distribution can be represented by __________.

A. Frequency polygon.

B. Histogram.

C. Frequency curve.

D. Ogives.

ANSWER: B

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

ANSWER: A

11. Subdivided bar diagram can be prepared on percentage basis _____________.

A. always.

B. never.

C. sometimes.

D. at a particular time.

ANSWER: D

12. Positively skewed distribution is ____________.

A. symmetrical

B. asymmetrical

C. both

D. none

ANSWER: B

13. In a positively skewed distribution mean>median is ____________.

A. lesser than mode

B. equal to mode

C. greater than mode

D. none

ANSWER: C

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

ANSWER: A

15. Standard deviation is the _________ of variation.

A. least measure.

B. best measure.

C. average.

D. none of the above.

ANSWER: B

16. In discrete and continuous frequency distributions N= ___ .

A. the sum of frequency.

B. number of observations.

C. minimum value.

D. maximum value.

ANSWER: A

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

ANSWER: C

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.

ANSWER: B

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

ANSWER: B

20. The mode of the following series is __________. 3,5,8,5,4,5,9,3.

A. 3.

B. 5.

C. 4.

D. 0.

ANSWER: B

21. The standard deviation measures the absolute ___________.

A. dispersion.

B. average.

C. skewness.

D. kurtosis.

ANSWER: A

22. The standard deviation is extremely useful in judging the representativeness of the ___________ .

A. dispersion.

B. mean.

C. skewness.

D. kurtosis.

ANSWER: B

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.

ANSWER: C

24. _________ analysis deals with the association between two or more variables.

A. correlation.

B. regression.

C. skewness.

D. kurtosis

ANSWER: A

25. __________ is an analysis of the co -variation between two or more variables.

A. dispersion.

B. average.

C. correlation

D. regression

ANSWER: C

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.

ANSWER: B

27. The coefficient of correlation is said to be a measure of ___________ between two series.

A. covariance.

B. mean.

C. variance.

D. standard deviation.

ANSWER: A

28. The spearman rank correlation coefficient is a___________ measure of rank correlation.

A. parametric

B. non-parametric

C. linear

D. non-linear

ANSWER: B

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.

ANSWER: C

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.

ANSWER: C

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

ANSWER: D

32. The coefficient of correlation value ranges between ___________.

A. o & 1

B. -1 & 1

C. -1 & 0

D. none

ANSWER: B

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.

ANSWER: B

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.

ANSWER: A

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.

ANSWER: D

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.

ANSWER: A

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

ANSWER: C

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.

ANSWER: B

39. Simultaneous occurrence of two events A and B is generally written as ______.

A. A / B.

B. A + B.

C. A – B.

D. AB.

ANSWER: D

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.

ANSWER: A

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).

ANSWER: 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.

ANSWER: A

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.

ANSWER: C

44. What is the probability of picking a card that is red or black?

A. 1

B. 2

C. 0.

D. 1/2.

ANSWER: A

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.

ANSWER: B

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.

ANSWER: D

47. A ___________ process is a process wherein an experiment is performed repeatedly.

A. Binomial..

B. Poisson.

C. Normal.

D. Bernoulli.

ANSWER: D

48. The mean of binomial distribution is________.

A. np.

B. npq.

C. np/q.

D. npq(q-p).

ANSWER: A

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.

ANSWER: A

50. A Poisson distribution is a _________probability distribution.

A. discrete

B. continuous.

C. Normal.

D. random.

ANSWER: A

good one

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