Categories: All - median - mean

by Ana Ola 9 years ago

601

DATA ANALYSIS

The text provides an overview of various methods used in data analysis, focusing on numerical and graphical techniques. It explains measures of position, such as quartiles and percentiles, and measures of dispersion, including the interquartile range and standard deviation.

DATA ANALYSIS

TUTORIAL

Positions: Least (L), Median (M), Greatest (G)

Q1=P25 Q2=M=P50 Q3=75

DATA ANALYSIS

Graphical Methods

Time Plots


Time Plots are used for showing changes in data collected in regular intervals of time.

Scatterplot


Scatterplots are used for bivariate data, to show the relationship between two numerical variables.
Trend line: overall pattern, slope. Calculated by substracting the G/L of y, and dividing it by G/L of x.

Histograms


Histograms are graphs of frecuency distribution; the values are grouped into intervals, each one having
a relative frecuency.

Circle Graphs
Bar Graphs
Bar Graphs with Multiple Variables
Segmented Bar Graphs

Numerical Methods

Measures of Dispertion
Standard deviation

Example

*Sample Standard Deviation: Mean of differences / n-1.

1) Calculate the mean 2) (Value of mean - each nº)2 3) Calculate the mean of differences 4) Possitive square root

Interquartile range

Q3 - Q1

Range

G-L

Measures of Position
Percentiles
Quartiles
Measures of Central Tendency
Mode

Number that occurs most frecuently in the list.

Median

Middle value of an ordered list of numbers.

Mean

The mean is the sume of n numbers divided by n. The weight of the value is the nº of times a value appears on the list