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
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