minggu6
DESCRIPTION
statistika minggu ke 6TRANSCRIPT
Department of Geodesy & Geomatics Engineering
Deskripsi Data
Heri Sutanta
Central Tendency
• Many data sets have a distinct central tendency with the data values grouped or clustered around a central point
• Everyday expression: average value, middle value, most popular or frequent value
• Variation measures the spread or dispersion of values in a data set
• One simple measure of variation is range: the difference between the lowest and the highest value
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Range
• Range is equal to the largest values minus the smallest value
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Mean
• The arithmetic mean (the mean) is the most common measure of central tendency
• Extreme value?
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Median
• The median is the value that partition or splits and ordered set of data into two equal parts
• It is not affected by extreme values• The median is the middle value in a set of data
that has been ordered from lowest to highest value– Rule 1 If there is an odd number of values in the data
set, the median is the middle-ranked value– Rule 2 If there is an even number of values in the data
set, the median is the mean of the two middle-ranked value
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Mode
• The mode is the value in a data set that appears most frequently
• Extreme values do not affect the mode• Should only be used for descriptive purposes as
it is more variable than either the mean or the median
• Often there is no mode or there are several modes in the data set
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Quartiles
• Quartiles divide a set of data into quarters, that is, four equal parts– First quartile, Q1: 25% values are smaller or equal to
Q1. Q1 = (n+1) / 4
– Second quartile, Q2: is the median
– Third quartile, Q3: 75% values are smaller or equal to Q3. Q3 = 3(n+1) / 4
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Quartiles
• Rule 1 If the result is an integer, then the quartile is equal to the ranked value. n = 7, Q1?– Q1 = (7+1) / 4 = second ranked value
• Rule 2 If the result is a fractional half (2.5, 3.5, 7.5, etc.) then the quartile is equal to the mean of the ranked value. n = 9, Q1?– Q1 = (9+1) / 4 = 2.5 ranked value, halfway between
the 2nd and 3rd ranked value
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Quartiles
• Rule 3 If the result is neither an integer nor a fractional half, round the result to the nearest integer and select that ranked value. n = 10, Q1?– Q1 = (10+1) / 4 =2.75 ranked value. Round 2.75 to 3
and use the 3rd ranked value
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Interquartile Range
• Interquartile range is the difference between the third and the first quartile
– Interquartile Range = Q3 – Q1
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM
Heri Sutanta Department of Geodesy & Geomatics Engineering, UGM