1
M.C.Q’s of Biostatistics
…………………………………………………………………………………………………
1. The mean of the data a, a, a, a will be
a. Zero c. 2
b. a d. none of the above
2. The mean of the square deviation about mean is known as;
a. Mean c. Variance
b. Median d. Standard deviation
3. If sum of 20 values is 300 then mean of the data is;
a. 15 c. 30
b. 20 d. 300
4. If we add or subtract any value in the original any value in the original data then this process is known
as;
a. Change of scale c. Both a and b
b. Change of origin d. None of the above
5. The mean of the 10 values is 20, if we add a value 10 in each observation then mean for the new value
will be ;
a. 20 c. 30
b. 0 d. 10
6. When two coins are tossed together then probability of getting no tail is;
a. 0 c. ¼
b. ½ d. 1
7. The mean value or central value or average value of a data are;
a. All same value c. None of these
b. All different value d. Always negative
8. When “n” is an odd number then median is defined as;
a. Middle value c. Sum of the values
b. Median of two middle values d. Most repeated value
9. For a group data the class interval having maximum frequency is known as
a. Median class c. Median
b. Mode d. Model class
10. The sum of the deviation about mean for the data 6, 8, 10, 2, and 4 is always;
a. 1 c. Negative
b. 0 d. 30
11. If the calculated value of chi-squire lies in the region of acceptance, then we;
a. Accept Ho c. No conclusion
b. Reject Ho d. None of the above
12. Chi-square test is always used to test;
a. Population mean c. Test of association
b. Population median d. None of these
, 2
13. Pulse rate or weight of patient are known as;
a. Nominal data c. Discrete data
b. Continuous data d. Random variable
14. Classification of objects or persons into classes or groups in such a way that only one object or person
falls in only one group at a time is called as;
a. Mutually exclusive c. Dependent
b. None Mutually exclusive d. Independent
15. In testing hypothesis we use different level of significance to test Ho , in most situations level of
significance is not given then we have to use;
a. 1 % c. 5%
b. 2 % d. 10%
16. If we want to compare two or more groups then we use coefficient of variation (C.V), the group which
has maximum C.V is known as the more;
a. Consistent c. None of the above
b. Not consistent d. It is not possible
17. When we make a 95% confidence interval for the population mean using t or z test then probability or
chance of error will be;
a. 0.05 c. 1
b. 0.1 d. 5
18. A variable which has some chance or probability of its occurrence is known as;
a. Simple variable c. Quantitative variable
b. Qualitative variable d. Random variable
19. The sample mean x is known as the point estimator of the population;
a. Median c. Variance
b. Mode d. Mean µ
20. In all research analysis it is not possible to study whole population, we always estimate population
parameters on the basis of;
a. Population information c. We could not estimate parameters
b. Sample information d. Estimation of samples
21. Sampling is the process of drawing samples from the population, when the chance or probability of each
member of the population is equal than such sampling design known as;
a. Simple random sampling c. Judgment sampling
b. Not random sampling d. None of these
22. Estimation is the process of estimating parameters on the basis of;
a. Parameters c. A and B
b. Statistics d. None of the above
23. If random sample size 4 taken from a population whose variance is 16. When sampling is done with
replacement than variance of the sample mean is;
a. 2 c. 4
b. 16 d. 48
24. When the size of samples is increasing then variance of sample means is also;
a. Increases c. Constant
b. Decreases d. None of the above
25. When two dice and a single coin are tossed together then total sample spaces will be;
a. 36 c. 24
b. 14 d. 72 (Rational 6*6*2=72)
M.C.Q’s of Biostatistics
…………………………………………………………………………………………………
1. The mean of the data a, a, a, a will be
a. Zero c. 2
b. a d. none of the above
2. The mean of the square deviation about mean is known as;
a. Mean c. Variance
b. Median d. Standard deviation
3. If sum of 20 values is 300 then mean of the data is;
a. 15 c. 30
b. 20 d. 300
4. If we add or subtract any value in the original any value in the original data then this process is known
as;
a. Change of scale c. Both a and b
b. Change of origin d. None of the above
5. The mean of the 10 values is 20, if we add a value 10 in each observation then mean for the new value
will be ;
a. 20 c. 30
b. 0 d. 10
6. When two coins are tossed together then probability of getting no tail is;
a. 0 c. ¼
b. ½ d. 1
7. The mean value or central value or average value of a data are;
a. All same value c. None of these
b. All different value d. Always negative
8. When “n” is an odd number then median is defined as;
a. Middle value c. Sum of the values
b. Median of two middle values d. Most repeated value
9. For a group data the class interval having maximum frequency is known as
a. Median class c. Median
b. Mode d. Model class
10. The sum of the deviation about mean for the data 6, 8, 10, 2, and 4 is always;
a. 1 c. Negative
b. 0 d. 30
11. If the calculated value of chi-squire lies in the region of acceptance, then we;
a. Accept Ho c. No conclusion
b. Reject Ho d. None of the above
12. Chi-square test is always used to test;
a. Population mean c. Test of association
b. Population median d. None of these
, 2
13. Pulse rate or weight of patient are known as;
a. Nominal data c. Discrete data
b. Continuous data d. Random variable
14. Classification of objects or persons into classes or groups in such a way that only one object or person
falls in only one group at a time is called as;
a. Mutually exclusive c. Dependent
b. None Mutually exclusive d. Independent
15. In testing hypothesis we use different level of significance to test Ho , in most situations level of
significance is not given then we have to use;
a. 1 % c. 5%
b. 2 % d. 10%
16. If we want to compare two or more groups then we use coefficient of variation (C.V), the group which
has maximum C.V is known as the more;
a. Consistent c. None of the above
b. Not consistent d. It is not possible
17. When we make a 95% confidence interval for the population mean using t or z test then probability or
chance of error will be;
a. 0.05 c. 1
b. 0.1 d. 5
18. A variable which has some chance or probability of its occurrence is known as;
a. Simple variable c. Quantitative variable
b. Qualitative variable d. Random variable
19. The sample mean x is known as the point estimator of the population;
a. Median c. Variance
b. Mode d. Mean µ
20. In all research analysis it is not possible to study whole population, we always estimate population
parameters on the basis of;
a. Population information c. We could not estimate parameters
b. Sample information d. Estimation of samples
21. Sampling is the process of drawing samples from the population, when the chance or probability of each
member of the population is equal than such sampling design known as;
a. Simple random sampling c. Judgment sampling
b. Not random sampling d. None of these
22. Estimation is the process of estimating parameters on the basis of;
a. Parameters c. A and B
b. Statistics d. None of the above
23. If random sample size 4 taken from a population whose variance is 16. When sampling is done with
replacement than variance of the sample mean is;
a. 2 c. 4
b. 16 d. 48
24. When the size of samples is increasing then variance of sample means is also;
a. Increases c. Constant
b. Decreases d. None of the above
25. When two dice and a single coin are tossed together then total sample spaces will be;
a. 36 c. 24
b. 14 d. 72 (Rational 6*6*2=72)
