Lecture 2 Flashcards
central tendency and dispersion
what are the measures of tendencies
-Mean
-Mode
-Median
Mean- Define, how to calculate
Definition: the average value of the set.
How to calculate: add up all samples then divide by sample size. (amount of samples)
Explain variation with sample size (N). (Mean)
Variation with sample size: as sample size increases it gets closer to the population mean
Median define and calculate
Definition: is the number in middle of the sample (ranked in order)
How to calculate: The middle sample when the samples are ranked in order. (if there are two middle numbers add them then divide by 2)
Explain variation with sample size (N). (median)
Variation with sample size: as sample size increases it gets closer to the population median
Mode define and how to calculate
Definition: the the most repeated or frequent number that appears
How to calculate: find the most repeated value.
Explain variation with sample size (N).(Mode)
Variation with sample size: as sample size increases it gets closer to the population mode
what are the measures of dispersion?
-Range
-Interquartile range
- Standard error (SD)
-Standard deviation (SE)
- coefficient of variation (CV)
Define and how to calculate Range
Definition: the Max to min value
How to calculate: Maximum value - Minimum value
Explain variation with sample size (N). (Range)
Variation with sample size: as sample size increases it gets closer to the population range
explain variation with magnitude of the mean (μ) (Range)
Variation with magnitude of the mean (μ) : larger magnitude with higher mean
Note:a larger range with a higher mean indicates that the data points are spread further apart from each other, even though the central tendency (represented by the mean) is shifted towards a higher value
Define and calculate interquartile range
Definition: first to third quartile
Calculation: median of the lower half of the data (Q1) - median of the upper half of the data (Q3)
Variation with sample size (Interquartile range-IQR)
Variation with sample size: as sample size increases it gets closer to the populations IQR
Variation with magnitude of mean (μ)
(IQR)
Variation with magnitude of mean (μ): larger magnitude with higher mean Note: it tells you how much variation exists within the middle half of your data,
Standard deviation (SD) define and calculate
Definition: The average distance to the mean
Calculation: