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Test: Organisation of Data - 2 - Commerce MCQ


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10 Questions MCQ Test - Test: Organisation of Data - 2

Test: Organisation of Data - 2 for Commerce 2024 is part of Commerce preparation. The Test: Organisation of Data - 2 questions and answers have been prepared according to the Commerce exam syllabus.The Test: Organisation of Data - 2 MCQs are made for Commerce 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Organisation of Data - 2 below.
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Test: Organisation of Data - 2 - Question 1
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What is the class midpoint in a frequency distribution?

Detailed Solution for Test: Organisation of Data - 2 - Question 1
The class midpoint in a frequency distribution is calculated as the average of the upper-class limit and the lower-class limit. It helps represent the center of each class interval.
Test: Organisation of Data - 2 - Question 2
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What does the term "range" in statistics refer to?

Detailed Solution for Test: Organisation of Data - 2 - Question 2
In statistics, the range refers to the difference between the smallest and largest observations in a dataset. It measures the spread or dispersion of data.
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Test: Organisation of Data - 2 - Question 3
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Which of the following is NOT an advantage of classifying data?

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Loss of information is not an advantage of classifying data. In fact, one drawback of classification is that it can result in a loss of detailed information about individual observations.
Test: Organisation of Data - 2 - Question 4
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In the classification of data, statistical calculations are primarily based on which of the following?
Detailed Solution for Test: Organisation of Data - 2 - Question 4
Statistical calculations in the classification of data are primarily based on the class midpoints. Class midpoints are used for calculations in continuous series.
Test: Organisation of Data - 2 - Question 5
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What is the primary purpose of tally marking in data collection?
Detailed Solution for Test: Organisation of Data - 2 - Question 5
Tally marking is primarily used to keep count using a unary numeral system. It involves representing numbers with sets of vertical lines and is especially useful for counting and tracking.
Test: Organisation of Data - 2 - Question 6
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What is the main advantage of using the inclusive method in the classification of data?
Detailed Solution for Test: Organisation of Data - 2 - Question 6
The main advantage of using the inclusive method in the classification of data is that it ensures equal class intervals, making it easier to work with and compare data.
Test: Organisation of Data - 2 - Question 7
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In a multivariate distribution, what does it represent?
Detailed Solution for Test: Organisation of Data - 2 - Question 7
In a multivariate distribution, it represents the correlation between at least two estimates or the relationships among multiple variables. It provides insights into how variables are related in a dataset.
Test: Organisation of Data - 2 - Question 8
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Which of the following variables can take fractional values within a specified range?
Detailed Solution for Test: Organisation of Data - 2 - Question 8
A continuous variable can take fractional values within a specified range. It is not limited to exact, discrete values like a discrete variable.
Test: Organisation of Data - 2 - Question 9
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What is the term for a series in which the upper limit of one class becomes the lower limit of the next class, with the frequencies of the upper limit excluded from that class?
Detailed Solution for Test: Organisation of Data - 2 - Question 9
An exclusive series is a classification method where the upper limit of one class interval becomes the lower limit of the next class, and the frequencies of the upper limit are excluded from that particular class.
Test: Organisation of Data - 2 - Question 10
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In a bivariate frequency distribution, what does it represent?
Detailed Solution for Test: Organisation of Data - 2 - Question 10
In a bivariate frequency distribution, it represents the frequencies of two variables together. It shows how two variables are related or distributed in a dataset.
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