QUANTITATIVE METHODS

Quantitative Methods



Quantitative Methods

Question 1

a.

b.

c.

Average

Spread

i. Women's economic activity rate

53.1

75.4

ii. Life expectancy at birth for women

71.75

39

Reason of choice of measure:

Reason

i. Women's economic activity rate

The average value of the women's activity rate tells the mean value of the rate of 161 countries. The spread depicts the range of the data that is the difference between minimum and maximum value.

ii.Life expectancy at birth for women

The life expectancy at birth for women shows that the average value among the 161 countries is 71.75 % while the spread of the extreme values is 39

d.

i.

Life expectancy for women

48.1 and 53.24

Life expectancy for men

47.3 and 51.46

ii.

Life expectancy for women

13.7

Life expectancy for men

15.4

iii.

The life expectancy for women shows greater inequality as compared to the life expectancy rate of women.

e.

i.

Almost all the countries have their life expectancy exceeds males except for few African countries. The country with the highest difference in the women and men life expectancies is the Russian Federation with the value 11.7

ii.

The country where the difference is least positive for women, i.e. where their life expectancy exceeds males by the least or where male life expectancy exceeds females by the most is Botswana with the male life expectancy greater than women's by 2.3.

iii.

Highest

The Highest life expectancy rate for women is 87.1 in Japan

Lowest

The lowest life expectancy rate for women is 48.1 in Lesotho

Question 2

a.

i.

Country

Score

Japan

87.1

ii.

Country

Score

Swaziland

48.5

iii.

U.K.

U.S.A.

82.4

81.3

iv.

From the z-score indices of United Sates and United Kingdom, it can be said that United Sates of America has the highest female status as the life expectancy at birth for women, maternal mortality ratio, the percentage of women in parliament and women's economic activity rate in USA is high.

b.

The z-score of the of the index that is life expectancy at birth for women, maternal mortality ratio, the percentage of women in parliament and women's economic activity rate, is a measure of the dispersion of data. Some data are quite dispersed, as shown on the left graph, where the values for individuals may be quite different from each other. Other data are not very dispersed, as shown on the right graph, meaning that the values for individuals are quite similar to each other.

Question 3

a.

i. Highest female status

Region

Score

Asia

87.1

ii. Lowest female status

Region

Score

Africa

48.5

b.

c.

From the above, it can be said that the female status in most of the different regions are same in terms of life expectancy at birth for women, the percentage of women in parliament, maternal mortality ratio and women's economic activity rate. The reason of this statement is that; although the female status varies in some regions, but overall the female status is similar in most of the regions.

Question 4

a.

i.

ii.

From the above graphical representation, it can be said that the life expectancy at birth for women and adolescent fertility rate is reflecting that in terms of the variable that is life expectancy at birth for women, the adolescent fertility rate is declining in context of all the 161 countries.

b.

i.

Correlations

life expectancy at birth for women

adolescent fertility rate

life expectancy at birth for women

Pearson ...