Methodology

Indicators

Very low

low

Middle

High

Very high

weighted

15 - 39 age band as % of total population

0-29

30-32

33-35

35-39

40-100

4

 

R&D investment, % of annual nominal GDP

0-.99

1-1.99

2-2.99

3-3.99

4-100

11

15

Telephone lines per 10,000 inhabitants

0-1999

2000-3999

4000-5999

6000-7999

8000-10000

3

 

PCs per 10,000 inhabitants

0-999

1000-2499

2500-4999

5000-6999

7000-10000

6

 

Internet access per 10,000 inhabitants

0-999

1000-2499

2500-4999

5000-6999

7000-10000

7

 

Mobile phones per 10,000 inhabitants

0-1999

2000-3999

4000-5999

6000-7999

8000-10000

7

 

E-commerce revenue as % of  the quarter's nominal GDP

0-.009

.01-.09

.1-.99

1-1.99

2-100

12

35

Broadband Internet per 10,000 inhabitants

0--99

100-999

1000-1999

2000-4999

5000-10000

16

 

Web-enabled mobile devices per 10,000 inhabitants

0--99

100-999

1000-1999

2000-4999

5000-10000

16

 

M-commerce revenue as % of the quarter's nominal GDP

0.00009

.0001-.0004

.0005-.0009

.001-.009

.01-100

18

50

Mean (arithmetic mean) is the most frequently used measure of central tendency.

Standard error

Median is the value of the middle term in a data set that has been ranked in increasing order.

Mode is the value that occurs with the highest frequency in a data set.

The standard deviation is a measure of how widely values are dispersed from the average value (the mean).and Mean

 

S.D.=

Estimates variance based on a sample or population from its mean.

Var. =

Kurtosis characterizes the relative peakedness or flatness of a distribution compared with the normal distribution. Positive kurtosis indicates a relatively peaked distribution. Negative kurtosis indicates a relatively flat distribution.

Skewness characterizes the degree of asymmetry of a distribution around its mean. Positive skewness indicates a distribution with an asymmetric tail extending toward more positive values. Negative skewness indicates a distribution with an asymmetric tail

Range is obtained by taking the differnece between the largest and the smallest values in a data set.

Returns the confidence interval for a population mean. In our research the confidence interval is set up for 95% which means we can be 95 percent confident that the population mean is in the interval:

Overall numerical descriptive measures of 72 countries

15-39 age band as % of total population

R&D investment, % of nominal annual GDP

Telephone lines per 10,000 inhabitants

PCs per 10,000 inhabitants

Internet access per 10,000 inhabitants

Mobile phones per 10,000 inhabitants

E-commerce revenue as % of nominal GDP

Broadband Internet per 10,000 inhabitants

Web-enabled mobile devices per 10,000 inhabitants

M-commerce revenue as % of nominal 4Q GDP

Q3 Overall score

Mean

38.54

1

3670.82

1780.04

2063.36

3478.89

0.66

134.61

480.36

0.000012

30.46

Standard Error

0.48

0.11

257.99

208.08

253.59

352.07

0.12

33.73

105.35

0.000007

1.89

Median

37.47

0.7

3773.59

1003.82

1148.62

2599.62

0.15

2.13

210.6

0

27.7

Mode

37.47

0

0

0

0

0

0

0

0

0

14

Standard Deviation

4.06

0.95

2189.13

1765.65

2151.75

2987.45

1

286.23

893.9

0.000056

16.01

Sample Variance

16.52

0.91

4792274.43

3117519.9

4630032.28

8924837.54

1

81930.47

799050.55

0

256.45

Kurtosis

-0.62

0.28

-1.32

-0.95

-0.71

-1.5

5.38

9.07

24.42

43.387266

-1.15

Skewness

0.6

1.09

0.12

0.7

0.81

0.33

2.13

2.95

4.66

6.451021

0.31

Range

16.16

3.78

7405.03

5675.32

6607.13

8571.43

4.93

1398.75

5724.43

0.000418

59

Minimum

32.31

0

322.24

15.9

13

0

0

0

0

0

7.2

Maximum

48.47

3.78

7727.27

5691.22

6620.13

8571.43

4.93

1398.75

5724.43

0.000418

66.2

Sum

2736.02

72.31

264298.69

128162.84

148561.63

250480.16

47.63

9691.89

34585.7

0.000863

2192.8

Count

71

72

72

72

72

72

72

72

72

72

72

Confidence Level(95.0%)

0.96

0.22

514.42

414.91

505.64

702.02

0.24

67.26

210.06

0.000013

3.76

 

 

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