First: Were there mathematically tall differences in the reason why towards the postponing age of ong Younger Jordanians inside Amman because of geographic origin of the shot of your own analysis?
Independent T shot among the many reasons for delay relationships many years (public and you may monetary) kind of Jordanian youthfulness inside the Amman and you will geographical resource actually attempt the study
That there exists mathematically significant variations in the latest societal factors behind the brand new late period of guy because of geographic origin in which the number of value (0.000) that’s less than (??0.05) in addition to way to obtain the differences are owing to the brand new outlying provider, according to statistical medium Where in actuality the analytical typical for them was (3.55) that will be higher than the brand new population of your own urban area in which its analytical medium is (3.46), simply because new outlying people still follow the conventional character of your members of the family regarding mode requirements and you may requirements regarding the band of a wife, They think one public factors subscribe to the newest late chronilogical age of the newest husband certainly one of young adults in the Jordanian community.
When it comes to financial aspects of the fresh late chronilogical age of ong Jordanian teens, there have been differences from analytical benefits on account of geographic resource, where the quantity of relevance (0.016) try lower than (??0.05) additionally the supply of the differences try attributable to the fresh rural resource, depending on the statistical average the spot where the statistical typical for them is actually (4.29) in fact it is greater than the newest municipal provider where their mathematical medium is (4.12) and you may due to the fact that the folks of country side the fiscal conditions become more hard compared to the people of the urban area because of the limited monetary things it behavior as well as their importance of societal services, and this is not consistent with analysis (Qandil ainsi que al, 2013).
First: Were there mathematically high differences in the newest public effects of your own later chronilogical age of people considering the gender of your study test professionals?
There exists no statistically tall variations in the fresh new societal implications of the late age of guy because of gender, in which the number of benefits (0.068) is more than (??0.05), this is a recognition of one’s personal consequences away from delay wedding age having young adults who happen to be later in marriage, and that young people recently relationships age live in visible public requirements and problems for every members of this new decide to try. , 2013).
Second: Are there mathematically high differences in the fresh new societal effects of later ages of people due to the age of the research shot?
The worth of F try (six.214) having a degree of liberty (3,381) toward public implications of the later age of guy on the amount of significance of (0.000) that is below 0.05 and you can from over i end that there exists statistically significant variations in brand new social effects out of put-off people on account of many years.
That there are statistically significant differences in the social ramifications away from the new later ages of man as a result of the place of quarters where in actuality the level of significance (0
008) which is differences russian vs ukrainian women less than (??0.05) and also the way to obtain the differences is related to the newest outlying populace, with respect to the mathematical typical where it absolutely was The latest mathematical typical for them try (cuatro.24) which will be higher than the new population of your city where the mathematical average is (4.03), and this refers to as the folks of the brand new country, feel the repercussions more individuals of one’s city of the advantage of its very first public relations, and stick to tradition and lifestyle more Metropolitan dwellers, this is similar to the data (Qandil, et al., 2013).