Quantitative & Qualitative Skills (AQA A Level Geography)

Flashcards

1/10

Enjoying Flashcards?
Tell us what you think

Cards in this collection (10)

  • Define the term quantitative data.

    Quantitative data is measurable information that can be expressed by numbers or placed into specific categories.

  • What is qualitative data?

    Qualitative data is descriptive information, usually written, that presents features in an intuitive way.

  • True or False?

    Primary data is collected first-hand, usually during fieldwork.

    True.

    Primary data is collected first-hand, usually during fieldwork.

  • Define continuous data.

    Continuous data is numerical data that can take any value within a given range.

  • What is a mass balance?

    A mass balance is the input, output, and distribution of water or carbon between its flows and transfers within each stage of the system.

  • State the equation for calculating percentage change.

    P e r c e n t a g e space c h a n g e space equals fraction numerator left parenthesis f i n a l space v a l u e space minus space o r i g i n a l space v a l u e over denominator o r i g i n a l space v a l u e end fraction space cross times space 100 space

  • What is the interquartile range (IQR)?

    The interquartile range (IQR) is the difference between the upper quartile (UQ) and lower quartile (LQ) of a dataset.

  • Define the standard deviation.

    Standard deviation is a measure of dispersion in a dataset, calculated using the formula:

     bold italic sigma bold space bold equals square root of fraction numerator bold capital sigma bold space stretchy left parenthesis x space minus space x with bar on top stretchy right parenthesis to the power of bold 2 over denominator bold n end fraction end root

  • What is Spearman's rank correlation coefficient?

    Spearman's rank correlation coefficient is a statistical test to determine if two sets of numbers have a relationship, with values ranging from -1 to +1.

  • Define the term big data.

    Big data are large datasets that need computational manipulation to show trends, patterns, and subsequent links.