Statistical methods explained

  • How do you interpret statistical analysis?

    Interpret the key results for Display Descriptive Statistics

    1. Step 1: Describe the size of your sample
    2. Step 2: Describe the center of your data
    3. Step 3: Describe the spread of your data
    4. Step 4: Assess the shape and spread of your data distribution
    5. Compare data from different groups

  • How to explain the statistical treatment of data in research?

    In its simplest form, statistical treatment of data is taking raw data and turning it into something that can be interpreted and used to make decisions.
    This process is important for businesses because it allows them to take customer feedback and turn it into actionable insights..

  • When presenting descriptive statistics:

    1. Sample size: Make sure the sample size (n) is indicated
    2. Percentages: Be sure to include the numerator and denominator when reporting all percentages
    3. Measures of variability: Summarize the data using means and standard deviations when the data are normally distributed

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