1. What is statistics
    a tool that we use to make objective decisions from subjective data
  2. Uses for stats
    • represent data
    • descriptive
    • correlation
    • inferential
  3. Data
    • info collected on subject
    • usually numbers - height, weight, scores
    • sometimes words or categories
  4. Representation
    graphs or charts
  5. Descriptive
    • Measures central tendency
    • Measures variability
  6. Measure of Central Tendency
    • mean
    • median
    • mode
  7. Measure of Variability
    • range
    • standard deviation
  8. Mean
    • aka average
    • add points and divide by number of data points
  9. Median
    • Order data points from least to greatest
    • median is middle
  10. Mode
    most frequently occuring data point in series
  11. Range
    difference between the least and greatest data point in series
  12. Standard Deviation
    tells how tightly all data points are clustered around mean in series of data. this is a measure of variability
  13. data distribution
    • mean weight of students at 2 different schools
    • graph the data
  14. Correlation
    measure relationship between two varaibles cannot measure cause and effect
  15. Inferential
    allow us to test hypothesis in an experiment for cause and effect while comparing
  16. null hypothesis
    keeps bias out of experiement
  17. t-test
    used to determine if the means of two samples are significantly different
  18. P value
    • level of significance of test
    • he probability that two samples are likely to have come from the same two underlying populations that have the same mean
Card Set
Module 8