Last lecture summary Types of statistics Measures of central tendency Measures of variability Bias, Bessel's correction MAD Normal distribution Empirical.

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Presentation transcript:

Last lecture summary Types of statistics Measures of central tendency Measures of variability Bias, Bessel's correction MAD Normal distribution Empirical rule Standard normal distribution, Z-distribution

Standard deviation – empirical rule

New stuff

Use Z-table

Quiz – height data

The nature of the normal distribution In laboratory experiments, results vary due to several factors: imprecise weighting of reagents, imprecise pipetting, nonhomogeneous suspensions of cells or membranes... Similarly, variation in a clinical value might be caused by many genetic and environmental factors. These random factors are independent and they tend to offset each other. Variation among values will approximate a Gaussian distribution when there are many independent sources of variation when individual sources add up to get the final result

DISTRIBUTION, DISTRIBUTION, ARE YOU NORMAL?

Life expectancy data – histogram life expectancy frequency

Making conclusions from a histogram What can you tell about life expectancy data? how many modes? where is the mode? symmetric, left skewed or right skewed? outliers – yes or no? life expectancy frequency

Making conclusions from a histogram Where is the mode, the median, the mean? life expectancy frequency

Min. Q1 Median Q3 Max Five numbers summary