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Why is it important to know different types of data?
Crucial for scientific analysis, Helps in accurate interpretation of results, Guides selection of statistical methods, Supports validity and reliability of outcomes
What is Quantitative Data?
Numerical data obtained through measurements,
Give examples of Quantitative Data.
Speed of Wind: km/h or m/s, Weight of Fruits: grams or kilograms, Length of Roots: centimeters, Volume of Water: milliliters or liters
What is Qualitative Data?
Descriptive data based on qualities,
Give examples of Qualitative Data.
Odor of Flowers: sweet, citrusy, fragrant, Sunlight Exposure: full, partial, shade, Taste of Food: spicy, savory, bitter, Sound of Bird Calls: melodic, chirpy, repetitive
What is Categorical Data?
Data that falls into categories or groups,
Give examples of Categorical Data.
Soil Erosion Levels: low, moderate, high, Plant Growth Stages: seedling, mature, flowering, Types of Pesticides: organic, chemical, biological, Soil Types: sandy, loamy, clayey, silty
What is the difference between Qualitative and Quantitative Categorical Data?
Quantitative: Data categories with numbers (e.g., heights) Qualitative: Data categories without numbers (e.g., colors)
What is Continuous Data?
Data that can have values within a range
Give examples of Continuous Data.
Rainfall Amount: mm, Time Taken for Germination: hours/days, Length of Plant Leaves: mm, Water Flow Rate: liters/minute
What is Discrete Data?
Data with distinct and separate values
Give examples of Discrete Data.
Number of Flowers: count of flowers, Number of Insect Bites: count of bites, Number of Fungi Species: count of species, Number of Seeds in a Fruit: count of seeds
What is categorical continuous data?
Data categorized based on continuous ranges
What graph is used for categorical continuous data?
Histogram
What is categorical discrete data?
Data categorized based on discrete counts
What graph is used for categorical discrete data?
Bar graph