Presentation of Data — Flashcards
Gujarat Board · Class 11 · Statistics
24 flashcards for Presentation of Data (Gujarat Board Class 11 Statistics) to test yourself on key terms and facts.
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What is classification in statistics? Why is it necessary?
Answer
Classification is the process of arranging ungrouped or raw data into proper systematic and short form. It is necessary because: 1) It represents large data in simple, short and attractive manner, 2) …
Define discrete variable and give two examples.
Answer
A discrete variable can assume definite or countable values within a specified range. Examples: 1) Number of children per family (0, 1, 2, 3...), 2) Number of accidents on road (counted values). If yo…
Define continuous variable and give two examples.
Answer
A continuous variable can assume any value within a specified range. Examples: 1) Height of a person (measured in cm, inches), 2) Maximum temperature on a day (measured in celsius). If you have to MEA…
What is frequency in statistics?
Answer
Frequency (f) is a numeric value showing the repetition of value of an observation. It tells us how many times a particular value appears in the data set. For example, if the value '2' appears 5 times…
What is a discrete frequency distribution?
Answer
A discrete frequency distribution is a table showing various possible values of a discrete variable with their respective frequencies. It organizes discrete data by listing each value and how often it…
What is the formula for Range? When is it used?
Answer
Range (R) = Maximum value - Minimum value. It is used to find the spread of data and is essential for determining class length in continuous frequency distribution. Range helps decide how to group dat…
What is the formula for Class Length? How do you use it?
Answer
Class Length (C) = Range/Number of classes = R/K. After calculating, ensure C⋅K ≥ R. The class length should be a positive integer. This formula helps determine appropriate class intervals for continu…
What is the difference between inclusive and exclusive classes?
Answer
Inclusive classes: Upper limit of one class ≠ lower limit of next class. Observations equal to both limits are included in the same class (e.g., 30-35 includes both 30 and 35). Exclusive classes: Uppe…
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