Solved Introduction to Statistics MCQs – Quiz Preparation

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This article provides an introduction to Statistics MCQs – Multiple Choice Questions. It covers an overview of Statistics, the types of MCQs, the importance of studying Statistics, the best strategies for successfully answering Statistics MCQs & tips for finding the best online resources for Statistics MCQs. With this comprehensive guide, you will be able to master the basics of Statistics and prepare for any upcoming exams. With the help of the tips and strategies outlined in this article, you will be able to Pass Successfully your next Statistics exam and achieve success.

Introduction to Statistics MCQs

1. The data which has undergone any statistical treatment are.
A. Primary data
B. Secondary data
C. Discrete data
D. Qualitative data
View Answer

Secondary data


2. A non-measurable quantity is.
A. Discrete
B. Continuous
C. Qualitative
D. None
View Answer

Continuous


3. Simple bar chart consists of.
A. Circular region
B. Bars of equal width
C. Adjacent rectangles
D. All of these
View Answer

Bars of equal width


4. If y1=2, y2=3, y3=5 then is equal to.
A. Zero
B. 30
C. -10
D. 10
View Answer

10


5. A part of population is called.
A. Statistic
B. Parameter
C. Sample
D. Variable
View Answer

Parameter


6. Census returns are.
A. Primary data
B. Secondary data
C. Quantitative data
D. True data
View Answer

Secondary data


7. A quantity calculated from a population is called.
A. Frequency
B. Statistic
C. Parameter
D. Sample
View Answer

Parameter


8. The life of television tube is a.
A. Continuous variable
B. Class-frequency
C. Cumulative frequency
D. Class-interval
View Answer

Continuous variable


9. The numbers of registered students in IUB are.
A. Discrete data
B. Continuous data
C. Quantitative data
D. Infinite data
View Answer

Discrete data


10. In plural sense, statistics means.
A. Methodology
B. Numerical data
C. Sample values
D. Population values
View Answer

Sample values


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11. Statistics deals with facts which can be measured.
A. Numerically
B. Accurately
C. Precisely
D. Analytically
View Answer

Numerically


12. A numerical characteristic of a sample is called.
A. Statistic
B. Parameter
C. Variable
D. Sample
View Answer

Statistic


13. A variable that assume only some selected values in a range is called.
A. Continuous variable
B. Qualitative variable
C. Discrete variable
D. Quantitative variable
View Answer

Continuous variable


14. A value which does not change from one individual to another individual is called.
A. Constant
B. Variable
C. Statistic
D. Both A & B
View Answer

Constant


15. Total group under discussion is called.
A. Sample
B. Population
C. Subset
D. None
View Answer

Population


16. The number of chairs in a room is an example of ……… variable.
A. Quantitative
B. Continuous
C. Fixed
D. Discrete
View Answer

Discrete

17. A variable which takes countable values is called a ……… variable.
A. Continuous
B. Constant
C. Discrete
D. Attribute
View Answer

Discrete


18. A quantity computed from sample is called.
A. Parameter
B. Statistic
C. Constant
D. Population
View Answer

Statistic


19. Height of a plant is ……… variable.
A. Qualitative
B. Discrete
C. Continuous
D. Attribute
View Answer

Continuous


20. A numerical value used as a summary measure for a sample, such as a sample mean, is known as a.
A. Population Parameter
B. Sample Parameter
C. Sample Statistic
D. Population Mean
View Answer

Sample Statistic


21. If ß1=0 then distribution is said to be __.
A. Symmetrical
B. Skewed
C. Leptokurtic
D. Platykurtic
View Answer

Symmetrical

22. If ß2=3.25 then distribution is said to be __.
A. Symmetrical
B. Skewed
C. Leptokurtic
D. Platykurtic
View Answer

Leptokurtic


23. If n->8 and p->0 then binomial distribution is said to be __.
A. Binomial
B. Hypergeometric
C. Poisson
D. All of these
View Answer

Poisson


24. Favourable outcomes in hyper-geometric distribution is denoted by _.
A. K
B. n
C. N
D. All
View Answer

K


25. Which mean moment is equal to variance.
A. M1
B. M2
C. M3
D. M4
View Answer

M2
B


26. In binomial distribution total probability is equal to.
A. 0
B. 1
C. 2
D. 3
View Answer

1


27. A chance variation in an observational process is.
A. Random error
B. sampling error
D. a& c
D. none of these
View Answer

Random error


28. The mean of a distribution is 14 and the standard deviation is 5. What is the value of the coefficient of variation.
A. 35.7 %
B. 42.12%
C. 38.19%
D. 44.17%
View Answer

35.7 %


29. A. If a distribution is abnormally tall and peaked, then is can be said that the distribution is.
A. Lepto kurtic
B. messo kurtic
C. playty kurtic
D. none of these
View Answer

Lepto kurtic


30 Statistics deals with the study of.
A. Numerical
B. physical appearance
C. a and c
D. none of these
View Answer

Numerical


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31. How many sampling error in Statistics.
A. 2
B. 3
C. 4
D. 5
View Answer

2


32. When mean median and mode are concide then distribution is said to be.
A. Symmetrical
B. Skewed
C. Both
D. None of these
View Answer

Symmetrical

33. Mode “ VARIABLE”.
A. A
B. V
C. R
D. L
View Answer

A


34. Types of moments.
A. 2
B. 3
C. 4
D. 5
View Answer

2

35. Parameters of binomial distribution.
A. 2
B. 3
C. 4
D. 5
View Answer

2

36. Mean is greather than median then distribution is said to be.
A. Positive skewed
B. Negative skewed
C. Symmetrical
D. None of these
View Answer

Positive skewed


37. p is a ___ .
A. constant
B. variable
C. both
D. none of these
View Answer

constant


38. Blindness is a __ variable.
A. Constant
B. Discrete
C. Qualitative
D. Quantitative
View Answer

Qualitative


39. No. of leafs in the tree is _ variable.
A. Constant
B. Discrete
C. Qualitative
D. Continuous
View Answer

Continuous

40. Intelligence data is said to be _ variable.
A. Constant
B. Discrete
C. Qualitative
D. Continuous
View Answer

Qualitative


41. Data of registered people in a city is called _ variable.
A. Constant
B. Discrete
C. Qualitative
D. Continuous
View Answer

Discrete


42. Consumption of electricity _ variable.
A. constant
B. continuous
C. random
D. none of these
View Answer

continuous

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