i want you to write the explanations about each of these graphs and tables

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uhul

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Mathematics

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this is for my thesis about women empowerment in saudi arabia.

write the explanations about each of these graphs and tables

60 words underneath each of them.

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Employment status .Marital status Ever-married Single Total Pearson Chi-Square = 4.441a ; degrees of freedom = 1 p < 035 Unemployed Employed Total % % % 22.2 53.6 41.3 (4) (15) (19) 77.8 46.4 58.7 (14) (13) (27) 100.0 100.0 100.0 (18) (28) (46) Employment status Level of Unemployed Employed Total % % % High School education College Certificate Bachelor's degree Post-graduate Total Pearson Chi-Square = 3.205; degress of freedom = 3; p < .361 16.7 7.1 10.9 (3) (2) (5) 11.1 25.0 19.6 (2) (7) (9) 44.4 28.6 34.8 (8) (8) (16) 27.8 39.3 34.8 (5) (11) (16) 100.0 100.0 100.0 (18) (28) (46) Table 17: Binary Logistic regression of employment status on selected variables B Variable Age t level of education Marital status Women are more qualified than men in S.E. Wald df Sig. Exp(B) .123 .081 2.315 1 .128 1.130 -.227 .456 .247 1 .619 .797 -1.053 .865 1.482 1 .223 .349 .356 .221 2.588 1 .108 1.427 -2.929 2.378 1.517 1 .218 .053 terms of labor skills requirements. Constant Dependent variable : Employment status (employed =1, and unemployed = 0) -2 Log likelihood = 48.046; Cox & Snell R Square = .230; Nagelkerke R Square = .310; ; Chi-square = 11.488, df = 4, p =.022 Labor Force of Male and Female with Education Labor Force Participation and Employment of Male and Female Employment of Male and Female in Services and Industries Gross Enrollment of Male and Female in College Level Employment status by marital status Employment status .Marital status Ever-married Single Total Pearson Chi-Square = 4.441a ; degrees of freedom = 1 p < 035 Unemployed Employed Total % % % 22.2 53.6 41.3 (4) (15) (19) 77.8 46.4 58.7 (14) (13) (27) 100.0 100.0 100.0 (18) (28) (46) Employment status by level of education Employment status Level of Unemployed Employed Total % % % High School education College Certificate Bachelor's degree Post-graduate Total Pearson Chi-Square = 3.205; degress of freedom = 3; p < .361 16.7 7.1 10.9 (3) (2) (5) 11.1 25.0 19.6 (2) (7) (9) 44.4 28.6 34.8 (8) (8) (16) 27.8 39.3 34.8 (5) (11) (16) 100.0 100.0 100.0 (18) (28) (46) Table 17: Binary Logistic regression of employment status on selected variables B Variable Age t level of education Marital status Women are more qualified than men in S.E. Wald df Sig. Exp(B) .123 .081 2.315 1 .128 1.130 -.227 .456 .247 1 .619 .797 -1.053 .865 1.482 1 .223 .349 .356 .221 2.588 1 .108 1.427 -2.929 2.378 1.517 1 .218 .053 terms of labor skills requirements. Constant Dependent variable : Employment status (employed =1, and unemployed = 0) -2 Log likelihood = 48.046; Cox & Snell R Square = .230; Nagelkerke R Square = .310; ; Chi-square = 11.488, df = 4, p =.022
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Explanation & Answer

Attached.

Labor Force of Male and Female with
Education

The chart shows that the percentage of males in labour force with secondary education has
been on the rise over the years, which now stands at around 30%, while the percentage of
females in labour force with secondary education has been on the decline and is just above
18%. This means that more women with secondary education are not in the labour force.

The chart shows that by 2014, 40% of the women in the labour force have tertiary education.
More women have been acquiring tertiary education hence entering the labour force. On the
other hand, females with tertiary education in the labour force have been growing at a low
pace as compared to females and are below 20% of the total population of men.

Labor Force
Participation and
Employment of Male
and Female

The labour force participation rate for men in Saudi Arabia has remained high, above 70%,
though it has slightly declined. On the other hand, the participation rate for females in the
country has been low and has grown at a low rate. The participation rate for the female gender
is below 20%, but has been growing positively over the years.

The female employment in the industrial sector has remained below 10%, while in the service
sector; the employment rate has been over 90% for the period in study. This is as compared to
men where the employment in the service sector has remained below 30% but in the industrial
sector, the rate has been above 60%. This shows that men are more likely to be employed in
the industrial sector and not women.

Employment of Male and Female in Services and
Industries

Over 70% of males are employed in either the service or industrial sector, and in the recent
years, the employment rate has been on the rise. On the other hand, the employment rate for
females has been below 20%. However, the employment rate for women has also been on a
steady rise. This shows an overall growth in employme...