Google Data Analytics #15_Sample & Statistic

tpgk21·2022년 6월 30일

[Google] Data Analytics

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Sample Size

  • a part of population that is representative of the population
    • ex. when you have to use data that is just way too broad
  • the goal is to get enough information from a small group within a population to make predictions or conclusions about the whole population

N = population size e = margin of error (percentage in decimal form) z = z-score

z-score is the number of standard deviations a given proportion is away from the mean

Random Sample

  • a way of selecting a sample from a population so that every possible type of the sample has an equal chance of being chosen
    • this will reduce the sampling bias

Statistical Power

  • the probability of getting meaningful results from a test

Hypothesis Testing

  • a way to see if a survey or experiment has meaningful results

Margin of Error

  • maximum amount that the sample reuslts are expected to differ from those of the actual population

  • to calculate the margin of error you need:

    • population size
    • sample size
    • confidence level
  • when executing A/B test, it is important to know about margin error

    • if a returns 5% and b returns 3%, yet the margin of error is 2%, a overlaps the result of the b, therefore, the result is not statistically significant
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