Statistics II Flashcards
Tools for Describing Data
Histograms Box plots bar chart pie chart trend charts
Normal Distribution
The cornerstone of statistics
Bell-shaped
Symmetrical about the mean; roughly each side is a mirror image of the other
Generally only one common value; unimodal
Total area under curve = 1
Approximately 68% of distribution is within one standard deviation of the mean
Approximately 95% of distribution is within two standard deviations of the mean
Approximately 99.7% of distribution is within three standard deviations of the mean
Mean = median = mode
Ratio-Mean-Standard Deviation-________
Histogram
Interval- Mean- Standard deviation-________
Histogram
Ordinal/ranked-median-interquartile range-
Box plot
nominal/categorical-mode-(no common measure of spread)-_____
Bar Chart, pie chart
Central Limit Theorem (CLT)
The CLT states that no matter how on-normal a body of data is distributed, if we sample the means (averages) from that data it can always form a normal distribution. The larger the value of the sample size (n), the better the approximation to the normal.
Confidence Intervals
If the 95% confidence interval for the mean age in a study population extends from 26 to 34, a researcher can be 95% confident that the mean age of all employees (not just the ones randomly sampled for the study) is between 26 and 34 years.
A larger sample size will yield a narrower confidence interval.