Define Discrete variable

A discrete variable is a type of quantitative variable in statistics that represents distinct, separate values or categories. It can only take on specific, distinct numerical values within a certain range, often as whole numbers. Discrete variables cannot have values between these distinct points, making them different from continuous variables which can take any value within a given range.

Examples of discrete variables include:
– The number of cars in a parking lot.
– The number of students in a classroom.
– The count of heads obtained when flipping a coin multiple times.
– The number of goals scored in a soccer match.
– The number of books on a shelf.

In summary, discrete variables are characterized by their distinct and separate values that can be counted within a specific range, without any values in between.

 

 

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Distinguish between parametric and non-parametric test

 

Evaluation

1. A discrete variable takes on _______ values within a specific range.
(a) continuous
(b) distinct
(c) infinite

2. Unlike continuous variables, discrete variables cannot have values _______ the distinct points.
(a) between
(b) beyond
(c) outside

3. The number of people attending a workshop is an example of a _______ variable.
(a) continuous
(b) ordinal
(c) discrete

4. Discrete variables often involve _______ numbers as possible values.
(a) fractional
(b) specific
(c) negative

5. The count of red marbles in a jar is a _______ variable.
(a) categorical
(b) continuous
(c) discrete

6. A discrete variable can only assume distinct values such as _______.
(a) decimals
(b) whole numbers
(c) fractions

7. The number of pets a family owns is an example of a _______ variable.
(a) continuous
(b) ordinal
(c) discrete

8. Discrete variables cannot take _______ values within their range.
(a) only two
(b) infinite
(c) intermediate

9. A variable that can only have values 1, 2, or 3 is a _______ variable.
(a) continuous
(b) nominal
(c) discrete

10. A discrete variable represents data that can be _______.
(a) measured
(b) counted
(c) estimated

11. The number of pages in a book is an example of a _______ variable.
(a) continuous
(b) ordinal
(c) discrete

12. Discrete variables often result from _______ data.
(a) qualitative
(b) categorical
(c) quantitative

13. A discrete variable’s values are typically separated by _______.
(a) decimals
(b) fractions
(c) gaps

14. The count of occurrences of a specific event is usually a _______ variable.
(a) continuous
(b) ordinal
(c) discrete

15. Discrete variables are characterized by their _______ values that can be counted.
(a) infinite
(b) non-numeric
(c) distinct

 

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