Statistics for Data Science & Analytics

The post is about an Online introductory Statistics Quiz. Test your Basic Statistics knowledge on:
✅ Data types (quantitative vs. categorical)
✅ Measures of central tendency (mean, median, mode)
✅ Skewness & outliers (left vs. right skew, detecting extremes)
✅ Relationships between measures (how mean/median/mode shift in different distributions)
✅ Conversion and Normalization of data

Let us start with the Online Introductory Statistics Quiz now.

Online Introductory Statistics Quiz with Answers

1. A measure that describes the detailed characteristics of the whole data set is classified as

 Positive skewed value

 Average or central value

 Negative skewed value

 Positive extended value

2. When multiple observations are reported for each respondent in the data set, to compute statistics for variables about the respondents, one must:

 Remove duplicates before running analysis

 Ignore the presence of duplicates and compute statistics as usual

 None of these

 Weight data by duplicates

3. How the geometric mean, harmonic mean, and arithmetic mean are related is as

 A.M H.M

 A.M < G.M < H.M

 A.M > G.M > H.M

 A.M > G.M < H.M

4. The measure of central tendency, which is calculated by considering the most frequently occurring value as the central value, is classified as

 Central mode

 Mode

 Percent value

 Frequent value

5. The method used to compute the average or central value of collected data is considered as

 Measures of central tendency

 Measures of negative skewness

 Measures of positive variation

 Measures of negative variation

6. Which of the following is NOT true?

 Fully coherent data is consistent and can be reliably combined for analysis

 Data formatting ensures that data is consistent and easily understandable

 Coherence is irrelevant when assessing the quality of a data set

 Data is collected from different sources and may be stored in different formats

7. In a negative skewed distribution, the order of mean, median, and mode is as

 mean > median > mode

 mean < median < mode

 mean > median < mode

 mean mode

8. The process of converting or mapping data from the initial raw form to another format to prepare it for further analysis goes by several names. What is this process commonly called?

 Data wrangling

 Data formatting

 Data cleaning

 Data pre-processing

9. Which of the following is NOT true?

 Fully coherent data is consistent and can be reliably combined for analysis

 In a data set, data is usually collected from a single source and stored in a single format

 Data formatting ensures that data is consistent and easily understandable

 In statistics, coherence is an indication of the quality of the information in a single data set

10. In measure of central tendency, sample statistic is denoted by

 Athens letter $\mu$

 Roman letter $\overline{x}$

 Roman letter $\mu$

 Greek letter $\mu$

11. If a negatively skewed distribution (i.e., skewed to the left) has a median of 50, which of the following statements are true?

 The mean is greater than 50

 The mode is greater than 50

 None of the above

 The mean is less than 50

12. Which of the following is a common file format for data sets?

 .CSV

 .CRQ

 .PDF

 .DOC

13. The value of $\Sigma fx$ is 180, $A=22$, and width of the class interval is 5, arithmetic mean is 120. Then observations are

 30

 39.5

 49.5

 59

14. The value of $\Sigma fd$ is 250, $A=25$, number of observations are 12 and width of class interval is 6 then arithmetic mean is

 250

 150

 25

 275

15. Criteria of inferential statistics that considers the sum of squared deviations is classified as

 Outliers square criterion

 Central squares criterion

 Least squares criterion

 Multiple squares criterion

16. In statistics out of 100, marks of 21 students in final exams are as 90, 95, 95, 94, 90, 85, 84, 83, 85, 81, 92, 93, 82, 78, 79, 81, 80, 82, 85, 76, 85 then mode of data is

 90

 85

 95

 81

17. Considering all observations of arithmetic mean, the sum of squares of deviations must be less than

 Sum of deviations from other quantity

 Sum of multiples of other quantity

 Cumulative frequency from other quantity

 Sum of squares from other quantity

18. Which of these is NOT a method of normalizing data?

 Simple feature scaling

 Z Score

 Min-Max

 Compound Y

19. In a set of observations, unusual lower and higher values are called

 Central liners

 Outliers

 Median liners

 Free liners

20. The value of $\Sigma fx$ is 300, $A=35$, the number of observations is 15, and the width of the class interval is 5; then the arithmetic mean is

 145

 150

 135

 235

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Online Introductory Statistics Quiz with Answers

• Which of the following is a common file format for data sets?
• When multiple observations are reported for each respondent in the data set, to compute statistics for variables about the respondents, one must:
• The process of converting or mapping data from the initial raw form to another format to prepare it for further analysis goes by several names. What is this process commonly called?
• Which of the following is NOT true?
• Which of these is NOT a method of normalizing data?
• Which of the following is NOT true?
• If a negatively skewed distribution (i.e., skewed to the left) has a median of 50, which of the following statements are true?
• The value of $\Sigma fx$ is 180, $A=22$, and width of the class interval is 5, arithmetic mean is 120. Then observations are
• The value of $\Sigma fx$ is 300, $A=35$, the number of observations is 15, and the width of the class interval is 5; then the arithmetic mean is
• The value of $\Sigma fd$ is 250, $A=25$, number of observations are 12 and width of class interval is 6 then arithmetic mean is
• Criteria of inferential statistics that considers the sum of squared deviations is classified as
• In a negative skewed distribution, the order of mean, median, and mode is as
• A measure that describes the detailed characteristics of the whole data set is classified as
• How the geometric mean, harmonic mean, and arithmetic mean are related is as
• In statistics out of 100, marks of 21 students in final exams are as 90, 95, 95, 94, 90, 85, 84, 83, 85, 81, 92, 93, 82, 78, 79, 81, 80, 82, 85, 76, 85 then mode of data is
• Considering all observations of arithmetic mean, the sum of squares of deviations must be less than
• In a set of observations, unusual lower and higher values are called
• The measure of central tendency, which is calculated by considering the most frequently occurring value as the central value, is classified as
• The method used to compute the average or central value of collected data is considered as
• In measure of central tendency, sample statistic is denoted by

R Programming Language, MCQs General Knowledge

How well do you know Exploratory Data Analysis (EDA)? This interactive Exploratory Data Analysis Quiz tests your understanding of key EDA concepts, including data distributions, outlier detection, visualization techniques (histograms, box plots, scatter plots), and statistical summaries. Whether you’re a student, data scientist, statistician, or researcher, this exploratory data analysis quiz helps sharpen your skills in uncovering insights from raw data. Let us start with the Online Exploratory Data Analysis Quiz now.

Online Exploratory Data Analysis Quiz with Answers

• Which of the following forms of exploratory data analysis generates short summaries about the sample and measures of the data?
• Which of the following forms of exploratory data analysis is a statistical comparison of groups of data?
• Which of the following would NOT be a good use of analytic graphing?
• Plots let you summarize the data (usually graphically) and highlight any broad features
• Which of the following do plots NOT do?
• What do you think is a disadvantage of the Base Plotting System?
• Which of the following is a principle of analytic graphics?
• What is the role of exploratory graphs in data analysis?
• What is the purpose of hierarchical clustering?
• When you’re doing hierarchical clustering, there are strict rules that you MUST follow.
• Average linkage uses the maximum distance between points of two clusters as the distance between those clusters.
• The number of clusters you derive from your data depends on the distance at which you choose to cut it.
• Once you decide basics, such as defining a distance metric and linkage method, hierarchical clustering is deterministic.
• K-means clustering requires you to specify a number of clusters before you begin.
• K-means clustering requires you to specify a number of iterations before you begin.
• Which of the following would be an example of variables correlated to one another?
• Every data set has a single fixed number of clusters.
• K-means clustering will always stop in 3 iterations
• When starting k-means with random centroids, you’ll always end up with the same final clustering.
• Which of the following cliches LEAST captures the essence of dimension reduction?

MCQs General Knowledge, R Programming Language