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Measures of data, Apuntes de Negocios Internacionales

Asignatura: data analysis, Profesor: Walter García Montes, Carrera: International Business Economics, Universidad: UPF

Tipo: Apuntes

2012/2013

Subido el 20/10/2013

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Measuring the center
The Mode
The Mean
The Median M is the midpoint of a distribution, the number such that half
the observations are smaller and the other half are larger. To nd the
median of a distribution:
1. Arrange all observations in order of size, from smallest to largest.
2. If the number of observations n is odd, the median M is the center
observation in the ordered list. If the number of observations n is
even, the median M is midway between the two center observations
in the ordered list.
3. You can always locate the median in the ordered list of
observations by counting up (n + 1)/2 observations from the start of
the list.
COMPARING THE MEAN AND THE MEDIAN
The mean and median of a roughly symmetric distribution are close
together. If the distribution is exactly symmetric, the mean and median are
exactly the same. In a skewed distribution, the mean is usually farther out in
the long tail than is the median.
Measuring spread
The Range
The Variance
The Standard derivation
The Quartiles
To calculate the quartiles:
1. Arrange the observations in increasing order and locate the median
M in the ordered list of observations.
2. The rst quartile Q1 is the median of the observations whose
position in the ordered list is to the left of the location of the overall
median.
3. The third quartile Q3 is the median of the observations whose
position in the ordered list is to the right of the location of the overall
median.
Measuring the shape
The Skewness
The Kurtosis
THE FIVE-NUMBER SUMMARY
The ve-number summary of a distribution consists of the smallest
observation, the rst quartile, the median, the third quartile, and the largest
observation, written in order from smallest to largest. In symbols, the ve-
number summary is Minimum Q1 M Q3 Maximum. They are represented in
the boxplot:
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Measuring the center

The Mode

The Mean

The Median M is the midpoint of a distribution, the number such that half the observations are smaller and the other half are larger. To find the median of a distribution:

1. Arrange all observations in order of size, from smallest to largest. 2. If the number of observations n is odd, the median M is the center observation in the ordered list. If the number of observations n is even, the median M is midway between the two center observations in the ordered list. 3. You can always locate the median in the ordered list of observations by counting up ( n + 1) / 2 observations from the start of the list.

COMPARING THE MEAN AND THE MEDIAN The mean and median of a roughly symmetric distribution are close together. If the distribution is exactly symmetric, the mean and median are exactly the same. In a skewed distribution, the mean is usually farther out in the long tail than is the median.

Measuring spread

The Range The Variance The Standard derivation The Quartiles To calculate the quartiles:

1. Arrange the observations in increasing order and locate the median M in the ordered list of observations. 2. The first quartile Q1 is the median of the observations whose position in the ordered list is to the left of the location of the overall median. 3. The third quartile Q3 is the median of the observations whose position in the ordered list is to the right of the location of the overall median.

Measuring the shape

The Skewness

The Kurtosis

THE FIVE-NUMBER SUMMARY

The five-number summary of a distribution consists of the smallest observation, the first quartile, the median, the third quartile, and the largest observation, written in order from smallest to largest. In symbols, the five- number summary is Minimum Q1 M Q3 Maximum. They are represented in the boxplot:

The interquartile range IQR is the distance between the first and third quartiles, IQR = Q3 − Q

Call an observation a suspected outlier if it falls more than 1.5 × IQR above the third quartile or below the first quartile.