# Solved Introduction to Statistics MCQs – Quiz Preparation

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

Secondary data

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

Continuous

3. Simple bar chart consists of.
A. Circular region
B. Bars of equal width
D. All of these

Bars of equal width

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

10

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

Parameter

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

Secondary data

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

Parameter

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

Continuous variable

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

Discrete data

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

Sample values

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

Numerically

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

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

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

Constant

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

Population

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

Discrete

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

Discrete

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

Statistic

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

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

Sample Statistic

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

Symmetrical

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

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

Poisson

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

K

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

M2
B

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

1

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

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%

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

Lepto kurtic

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

Numerical

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

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

Symmetrical

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

A

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

2

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

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

Positive skewed

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

constant

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

Qualitative

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

Continuous

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

Qualitative

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