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Intro to Statistics

Scientists collect a sample of the population that is (ideally) representative of a general population.

Graph the data and analyze the distribution of it

  • Data will typically show normal distribution (the bell curve)

Central Tendency - Quantify and examine differences (mode, mean, median)

  • Mean is good for regular distributions

  • Median is good for abnormal distributions / large amount of outliers

Variability - How far a dataset diverges from a central tendency (range and standard distribution)

  • Standard distribution - A measure of how far spread out the data is from the mean

    • 68-95-99.7 rule

Standard error - used to determine the precision and confidence of the mean (and how well it represents the population)

  • Based on standard deviation and the amount of data points

    • +/- 2 SE = 95% confidence

Intro to Statistics

Scientists collect a sample of the population that is (ideally) representative of a general population.

Graph the data and analyze the distribution of it

  • Data will typically show normal distribution (the bell curve)

Central Tendency - Quantify and examine differences (mode, mean, median)

  • Mean is good for regular distributions

  • Median is good for abnormal distributions / large amount of outliers

Variability - How far a dataset diverges from a central tendency (range and standard distribution)

  • Standard distribution - A measure of how far spread out the data is from the mean

    • 68-95-99.7 rule

Standard error - used to determine the precision and confidence of the mean (and how well it represents the population)

  • Based on standard deviation and the amount of data points

    • +/- 2 SE = 95% confidence

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