Yearly examination of physical strength of college students is extremely important, in order to let them find out their own bodily condition, and take suitable exercise. So I’m hopeful that this study will be useful and be ameasure of the current situation. In the light of the results of examination this year of 1,823 boys and 344 girls (total 2,167 students) of Jeonbug National Universtiy, I established statistical hypothes and tests for the purpose of searching for the relationship between their ages and the items studied. 1) 50 M. Run. Table 1-2, and Table 1-3 show that the relationship between students ages and the 50 meter run is not significant, sonull-hypothesis is rejected and alternative hypothesis is accepted. In other words, the male group’s ability to run 50meters improved until 20 years of age and thereafter decreased by degrees (mean and T-scoer.) However according to assorting table the more old they are the better scores they tend to get. In the female group also, alternative hypothes is was accepted (see Table 1-2) and the best students for the 50 meter run are 18 to 19 years of age. In the female group the older they are the worse scorethey get, in contrast with the male group. Male group’s coefficience of contin gency stands at 0.1772 but the female group’s 0.3774. I found that the female group’s difference of score by age was big. This analysis proves that women’s growing peak comes earlier than that of men and declines faster; That means women have to maintain continualy their level of body muscle, mainly leg muscle. 2) Endurance Run (Men;1,000 M., Women:800M.). According to our rosults, men of 19 to 21, on the averge, run most rapidly, simultaneously their T-score is mostly high. On the other hand, in the women’s group, those of 18 to 19 made the best records. Taking a look at an indepence-test betw ean the enderance run and students ages, and two other tests (see Table 2-2 & 2-3) there was significant difference between ages and body strengh at the level of .05, so that alternative hypothesis is accepted accordingly ages make body strength difference. Like the situtation of the 50 M. run, boy students after 21 are on the best records and the ir body strength declines gradually, however on the contrary, the bodystrength of girl students after 19 takes a very fast slope. The female group’s coeficieace of contingency was bigger than that of the male group. 3) Standing Broad Jump: Boys’n girls of 19 both are at the standing broad jump, however the boy’s T-score showed 49.3 and the girls, 62.2, promienently higher than boys’. The boys’ coefici-ence of variation run 0.0508 and the girls, 0.0209. Accordingly the men’s variation is higher than women’s. That means that is the male group, records differ greatly byage. Table 3-2 & Table 3-3 indicate the independent test for distribution. Analyzing those tables the male groups were significant at the leyel of .05 so that we find the correlation between age levers and standing broad jump. Hower in the female group, there is no correlation between age level and the scores of the standing broad jump and Independence was found between them. Null hypothesis is accepted at the level of .05 significance. In other words for title boys after 19 years of age, the older they are the the lower their spores are. It is easy to see that in the female group, there is no statistic significance among every level of age; Looking at mean and T-scores, there was significant difference only for the standing broad jump, among each age level, but looking at the independent statistic hypothesis test, difference is not significant at the .05 level. I believe these phenomena are caused by the fact that girls’ muscles consist mainly of leg muscle keeping the power of the muscle inpsite of their getting old. Hower there is another factor which applies only lot he standing broad jump: The student are very accustomed to it and skillfull at it, having running races every day since babyhood. 4)Grip Strength： Comparing the boys group and girls group by mean and T-scores scores for grip strength incresed according to increasing ages. And the coefficience of variation was almost the same in both groups. In the statistic independent tests, it is proved that in the male group, the older they are, the better scores they get, and also the level of ages and grip strength are signficant at the level of .05 and have correlation between them. On the other hend in the female group, the older they were, the lower scores they get. So there was no correlation at the .05 level between age levels and grip strength. Alternative hypothesis was therefore accepted. In short, it was proved that according to increasing age, the boys’ scores went up aad girls’ down. 5)Pnll-up(Flexed Arm Hang for women)： Examining mean and T-scores in the male group generaly speaking, the scores went up with age. However in the female group, the peak was 18 years of age; thereafter it tended to go down. The pull-up or flexed arm hang is planned for the purpos of testing the oscillating duration power. The former is for boys and the latter, girls. Both methods use their own body weight, the value they take, does not imply their arms' osciliating durtion power but their strength compared to theirhbody weight. According to increasing age, the： boys' scores rose but the girls’ scores fell. The reason might be that as they grow older, boys get light but girls, heavy. 6) Shuttle Run: Shuttle run tests the ability of rapid direction shift and speed, the main factor of promptness. In the mean and T-score for men the peak is 18 and thereafter scores go down. In the female group the scores go down after 20. Testing independence, age levels has correlation with the shuttle run at the .05 level of significance in both sexes, Both groups’ shuttle run score tended to decline by increasing age especially in the female group. 7) Sit-up: Sit-up tests the osciliating duration power of the stomach-muscle. It weighs the upper half of the body. Taking a look at the mean and T-score，the peak is 19 for bys and 18 years of age for girlss. Their scores dropped with increasing age-Age levels and sit-up scores are significant with each other at the. 05 levef for both sexes. Alternative hypothesism by which the age levels affect sit-up scores was accepted. In the male group the scores are decreased slowly hwile in the female group, decreasing very fast. 8)Standing Trunk Flexion: In the mean and T-scores, both female and male groups get peak scores at 18 years of age and thereafter the scores went down with increasing age. Statistical data indicates that their scores slope after becoming college kid. Standard error and coefficiency of variation of the girls* group was bigger than with the boys’ group, implying bigger variance. As we see in Table 8-2 and Table8-3, statistic hypothesis test is significant in thamale group at the .05 level. Generaly speaking, scores sloped with increasing age. Therefore we can accept alternative hypothesis concerning the correlation between age level and scores in the standing trunk flexion. Hower in girls’ group, as stated, data analysis showed that when students grow older, the mean and T-score decline. According to statistic hypothesis test, as seen in Table 8-3, it does not seem necessary to pay attention to slight decreasing tendency in the mean and T-score, because the above two variables have no relationship to each other, Nullhypothesis was accepted at the .05 level. 9)Level of Physical Fitness： Classification of general body strength was made by each age level (see Table 9-1 and Table 9-2). From the statistic test， both groups got the highest scores at the age of 18 to 19. After that as they grow older, their scores are decline. Such a tendency is stronger among girl students than boy students. This suggests that we need to pay more attention to cultivating women's body strength. Asv a result of testing both sexes, alternative hypothesis is accepted and there is significant difference between age le ds and the level of body strength at. 05 level. Variance of the college students. age level was from 18 to 27 years of age. According to their age levels, their scores went up or down. Therefore it seems that it is reasonable and meaningful to anadents’ body strength by each age level. In the research upon Jconbug National University students, their age levels consisted of 18 to 27 years of age for boys, and 18 to 23 for girls. It seems certain-that their body strength is quite satisfactory. Comaring to all students' body strength in our coun try, that of these students was very high on the several items (See Table 2-1, Table 5-1, Table 7-1, and Table 8-1). And also compared to Japanese studength the Jeonbug students were (See Table 1-1,3-1,4-1, 7-1 and Table 8-1) Generally, boys of 20 and girs of 19 years of age received the best scores, one year ahead of the national average body strength and of that of Japanese students. (1970) As we see in Tables 1-1 and 1-2 and judging by their 50 meter run scores, in boy’s group the best scores were made by the students of 24 to 27 years of age. It is becouse I guess many of them are retired from army service and they have been keeping their physical exercise during their service. But judging from Table 9-1, and 9-2, the statistic test of level of physical fitness, after the peak ages, then scores are sloping down. The same is true of all students in our country and Japanese students. Such a phenomena seems to be caused by the fact that generally as the students finish their General Course (Freshman year) and as they go on to their sophomore, Junior and Senior courses, they study hard and they study hard and their body strength declines, I suppose. In the female group such a tendency was more prominent. It was found that senor girls have no physical exercise in their university life.