MCQ Level of Measurement 13 (2024)

The post is about the MCQ Level of measurement and covers the concepts related to statistical data and variables. The understanding of these important concepts helps in understanding the important aspects of data from different fields of study and their statistical analysis.

The quiz MCQ Level of Measurement is designed to test your knowledge of data and variables in statistics.

Online MCQs about Statistics Data and Variables with Answers.

1. The collection of observations for all variables related to some research or findings is classified as

 
 
 
 

2. Classifying elementary school children as nonreaders (0), starting readers (1), or advanced readers (2) to place each child in a reading group is

 
 
 
 

3. A researcher asks a random sample of freshmen to describe how they feel about their first year at a university. Research assistants use predetermined criteria to assign categories to each description given: confident, Nervous, Fearful, and Insecure. What is the level of measurement used for described phenomena?

 
 
 
 

4. Which of the following conditions are necessary to ensure data integrity?

 
 
 
 

5. A data analyst is working on a project about the global supply chain. They have a dataset with lots of relevant data from Europe and Asia. However, they decided to generate new data that represents all continents. What type of insufficient data does this scenario describe?

 
 
 
 

6. A financial analyst imports a dataset to their computer from a storage device. As it’s being imported, the connection is interrupted, which compromises the data. Which of the following processes caused the compromise?

 
 
 
 

7. A measurement scale in which values are categorized to represent qualitative differences and ranked in a meaningful manner is classified as

 
 
 
 

8. Examples of variables in statistical phenomena consist

 
 
 
 

9. If a data analyst is using data that has been _____, the data will lack integrity and the analysis will be faulty.

 
 
 
 

10. The data in which we study Regions is called

 
 
 
 

11. Number of students in a stats class

 
 
 
 

12. _____ is the process of changing data to make it more organized and easier to read.

 
 
 
 

13. What can jeopardize data integrity throughout its lifecycle?

 
 
 
 

14. Participants in an experiment are asked to wear headphones. Across a four-minute long interval, the experimenter presents audio clips of different instruments. Participants are asked to raise their hands every time they hear a new instrument. Their total score is the number of correct responses. The measurement scale is

 
 
 
 

15. Reporting the temperature of a summer day in the state of California in degrees Fahrenheit is a measurement scale of

 
 
 
 

16. Which of the following conditions are necessary to ensure data integrity?

 
 
 
 

17. Temperature on a centigrade scale (no absolute zero point) is a measurement scale of:

 
 
 
 

18. As a data analyst, you are working for a national pizza restaurant chain. You have a dataset with monthly order totals for each branch over the past year. With only this data, what questions can you answer?

 
 
 
 

19. Measurement scale which allows the determination of differences in intervals is classified as

 
 
 
 

20. The data measurement which arises from a specific process of counting is classified as a

 
 
 
 

In the subject of statistics, data is collected, organized, presented, and analyzed, and interpretation is made to make wise and intelligent decisions. The data is a collection of variables, whereas a variable is some kind of measure that can vary regarding time, person/object, place, etc. Let us start with the MCQ level of measurement quiz.

In statistics, data can be classified based on the level of measurement, which refers to the nature of the information captured by the data. There are four main levels of measurement: (i) nominal, (ii) ordinal, (ii) interval, and (iv) ratio.

Level of Measurement

Nominal Level

Characteristics: Categories or labels without any inherent order.
Examples: Gender (male, female), colors, types of fruits.

Ordinal Level

Characteristics: Categories with a meaningful order or rank, but the differences between the categories are not uniform.
Examples: Educational levels (high school, college, graduate), customer satisfaction ratings (poor, fair, good, excellent).

Interval Level

Characteristics: Categories with a meaningful order, and the differences between the categories are uniform, but there is no true zero point.
Examples: Temperature (measured in Celsius or Fahrenheit) and IQ scores.

Ratio Level

Characteristics: Categories with a meaningful order, uniform differences between categories, and a true zero point.
Examples: Height, weight, income, age.

Understanding the level of measurement is crucial because it determines the types of statistical analyses that can be performed on the data. Different statistical tests and methods are appropriate for each level, and using an inappropriate analysis may lead to incorrect conclusions.

In summary, nominal data involve categories without order, ordinal data have ordered categories with non-uniform differences, interval data have ordered categories with uniform differences but no true zero, and ratio data have ordered categories with uniform differences and a true zero point.

MCQ Level of Measurement

MCQ Level of Measurement

  • Temperature on a centigrade scale (no absolute zero point) is a measurement scale of:
  • Participants in an experiment are asked to wear headphones. Across a four-minute long interval, the experimenter presents audio clips of different instruments. Participants are asked to raise their hands every time they hear a new instrument. Their total score is the number of correct responses. The measurement scale is
  • Reporting the temperature of a summer day in the state of California in degrees Fahrenheit is a measurement scale of
  • Number of students in a stats class
  • Classifying elementary school children as nonreaders (0), starting readers (1), or advanced readers (2) to place each child in a reading group is
  • A researcher asks a random sample of freshmen to describe how they feel about their first year at a university. Research assistants use predetermined criteria to assign categories to each description given: confident, Nervous, Fearful, and Insecure. What is the level of measurement used for described phenomena?
  • Which of the following conditions are necessary to ensure data integrity?
  • ___________ is the process of changing data to make it more organized and easier to read.
  • As a data analyst, you are working for a national pizza restaurant chain. You have a dataset with monthly order totals for each branch over the past year. With only this data, what questions can you answer?
  • A data analyst is working on a project about the global supply chain. They have a dataset with lots of relevant data from Europe and Asia. However, they decided to generate new data that represents all continents. What type of insufficient data does this scenario describe?
  • If a data analyst is using data that has been _________, the data will lack integrity and the analysis will be faulty.
  • Which of the following conditions are necessary to ensure data integrity?
  • A financial analyst imports a dataset to their computer from a storage device. As it’s being imported, the connection is interrupted, which compromises the data. Which of the following processes caused the compromise?
  • What can jeopardize data integrity throughout its lifecycle?
  • The data in which we study Regions is called
  • A measurement scale in which values are categorized to represent qualitative differences and ranked in a meaningful manner is classified as
  • The measurement scale which allows the determination of differences in intervals is classified as
  • Data measurement which arises from a specific process of counting is classified as a
  • The collection of observations for all variables related to some research or findings is classified as
  • Examples of variables in statistical phenomena consist

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MCQs for Statistics with Answers

This quiz post contains Online MCQs for Statistics with answers covering variable and type of variable, Measures of central tendencies such as mean, median, mode, Weighted mean, data and type of data, sources of data, Measure of Dispersion/ Variation, Standard Deviation, Variance, Range, etc.

Online MCQs for Statistics with Answers

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Basic statistics deals with the measure of central tendency (such as mean, median, mode, weighted mean, geometric mean, and Harmonic mean) and measures of dispersion (such as range, standard deviation, and variances).

Basic statistical methods include planning and designing the study, collecting data, arranging, and numerical and graphically summarizing the collected data.

Basic statistics are also used to perform statistical analysis to draw meaningful inferences. Basic statistics are used to extract useful information from the data. The extracted information may be useful for decision-making purposes.

MCQs for Statistics with Answers

A basic visual inspection of data using some graphical and numerical statistics may give some useful hidden information already available in the data. The graphical representation includes a bar chart, pie chart, dot chart, box plot, histogram, frequency polygon, scatter diagram, stem and leaf plot, cumulative frequency curve, and Pareto Chart, etc.

Companies related to finance, communication, manufacturing, charity organizations, government institutes, simple to large businesses, etc. are all examples that have a massive interest in collecting data and measuring different sorts of statistical findings. This helps them to learn from the past, notice the trends, and plan for the future.

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MCQs Basic Statistics Questions 12

This quiz contains MCQs Basic Statistics Questions with answers covering variable and type of variable, Measures of central tendency such as mean, median, mode, Weighted mean, data and type of data, sources of data, Measure of Dispersion/ Variation, Standard Deviation, Variance, Range, etc. Let us start the MCQs Basic Statistics Questions Quiz.

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The field of statistics deals with the measures of central tendency (such as mean, median, mode, weighted mean, geometric mean, and Harmonic mean) and measures of dispersions (such as range, standard deviation, and variances).

The Basic statistical methods include planning and designing the study, collecting data, arranging, and numerical and graphically summarizing the collected data.

Basic statistics are also used to perform statistical analysis to draw meaningful inferences.

MCQs Basic Statistics Questions

A basic visual inspection of data using some graphical and numerical statistics may give some useful hidden information already available in the data. The graphical representation includes a bar chart, pie chart, dot chart, box plot, etc.

Companies related to finance, communication, manufacturing, charity organizations, government institutes, simple to large businesses, etc. are all examples that have a massive interest in collecting data and measuring different sorts of statistical findings. This helps them to learn from the past, noticing the trends, and planning for the future.

MCQs Basic Statistics Questions

  • Which of the following divides a group of data into four subgroups?
  • Which of the following is not a measure of central tendency?
  • Consider the following grouped data. What is the sample variance of these data?
    Frequency Distribution
  • Suppose data are normally distributed with a mean of 120 and a standard deviation of 30. Between what two values will approximately 68% of the data fall?
  • The interquartile range is which of the following?
  • According to Chebyshev’s theorem, if a population has a mean of 80 and a standard deviation of 35, at least what proportion of the values lie between 30 and 130?
  • If a distribution is abnormally tall and peaked, then it can be said that the distribution is:
  • According to the empirical rule, approximately what percent of the data should lie within $\mu \pm 2\sigma$?
  • Which of the following describes the middle part of a group of numbers?
  • The mean of a distribution is 23, the median is 24, and the mode is 25.5. It is most likely that this distribution is:
  • Which dispersion is used to compare the variation of two series?
  • Which of the following measures does not divide a set of observations into equal parts?
  • Which of the following is written at the top of the table?
  • If a Curve has a longer tail to the right, it is called
  • Which one of the following is the class frequency?
  • If the mean of the two observations is 10.5, then the median of these two observations will be:
  • Which one is the formula of mid-range?
  • Which one of the following is not included in measures of central tendency?
  • For the given data $2, 3, 7, 0$, and $-8$, the G.M. will be:
  • The height of a student is 60 inches. This is an example of ———-?
  • Which branch of statistics deals with the techniques that are used to organize, summarize, and present the data:
  • The sum of squares of deviations from the mean is:
  • Which of the following is not based on all the observations?
  • Data in the Population Census Report is:
  • Which one is the not measure of dispersion?
  • In a positively skewed curve which relation is ———-.

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MCQs Skewness and Kurtosis 11

This quiz contains MCQs Skewness and Kurtosis covering the shape of the distribution, Measures of central tendency such as mean, median, mode, Weighted mean, data and type of data, sources of data, Measures of Dispersion/ Variation, Standard Deviation, Variance, Range, and measure of position, etc. Let us start the MCQs Skewness and Kurtosis Quiz.

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PLEASE COMMENT below the MCQ with the CORRECT ANSWER and its DETAILED EXPLANATION.

Don’t forget to mention the MCQs Statement (or Screenshot), because MCQs and their answers are generated randomly

Basic statistics deals with the measure of central tendencies (such as mean, median, mode, weighted mean, geometric mean, and Harmonic mean) and measures of dispersion (such as range, standard deviation, and variances).

Basic statistical methods include planning and designing the study, collecting data, arranging, and numerical and graphically summarizing the collected data.

Basic statistics are also used to perform statistical analysis to draw meaningful inferences.

MCQs Skewness and Kurtosis

A basic visual inspection of data using some graphical and numerical statistics may reveal useful hidden information already available in the data. The graphical representation includes a bar chart, pie chart, dot chart, box plot, etc.

Companies related to finance, communication, manufacturing, charity organizations, government institutes, simple to large businesses, etc. are all examples that have a massive interest in collecting data and measuring different sorts of statistical findings. This helps them to learn from the past, noticing the trends, and planning for the future.

Various graphical and numerical ways are used to check the skewness of the data. Skewness is the lack of symmetry in distribution.

MCQs Skewness and Kurtosis

  • When a distribution is symmetrical and has one mode, the highest point on the curve is called the
  • If the moment Ratio $\beta_2=3$ then the distribution is
  • For a symmetrical distribution
  • The degree to which numerical data tend to spread out about an average value is called
  • In symmetrical distribution if $Q_1=4, Q_3=12$ then median is
  • The first three moments of a distribution about the mean $\overline{X}$ are 1, 4, and 0. The distribution is
  • The distribution is positively skewed if
  • In Symmetrical distribution $Q_3-Q_1=20$, Median = 15, $Q_3$ is equal to

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