# Ironman Athletes: A Case Study

976 Words 4 Pages
a) The exam mark, considered by itself, must be at least 45% to pass Stats 101.
b) The remaining 80% of the final grade is determined by how well a person does in the test and the final exam. Plussage is used to decide whether the exam counts for 60% or 70% (and the test counts for 10% or 20%) of the final grade. Whichever of these produces the highest mark is used.
a) The total times is a numeric, continuous variable therefore a dot plot and a box plot are used. The modality of the data is unimodal (one peak) at 339 minutes. 50% of the Ironman athletes finish the race between 305.6 and 370.7 minutes. Although, there is a large standard deviation of 48.9. This entails that there is a large distance between the mean and the points, hence a
The data set was displayed as a scatter plot, as two numeric variables were being compared. It showed a strong, non-linear trend between the transition and total times. As X (transition) increased so did Y (total times). Therefore, the athletes who finished the race early had less transition versus those who finished the race late had a higher transition. There was a positive association with a correlation of 0.8. The high correlation shows how closely related the two variables are. The majority of the athletes were clustered the bottom left corner of the scatter plot. Although, there were several unusually high data points, particularly with those finishing the race late and also having a high transition. The graph should be analysed in subgroups, separating the male from the female athletes would show whether the subgroups behave …show more content…
Although there are only 39 female athletes. There is one cluster in the data set between 290 and 320 in total times. The male athletes had a faster total time mean of 312.4. There was also more than three times the number of male athletes (n=130) compared to females. Males had a smaller standard deviation of 20.4. This meant the spread was less for the male athlete’s compared to the females, possibly due to fitness level. The male graph was bimodal which peaked at both 385 and 312 in total times.
For the 4-6 transition data set, female athletes had a mean of 367.6 and a standard deviation of 33.5. This subset had the highest number of female athletes at 58. There are two unusually high/low points in this graph, both had reasonable transition times but had high total times (seen as the last two points on the dot plot). The male athletes had a faster total time mean of 340.1. There were also more male athletes (n=198) compared to females. Males had a larger standard deviation of 32.2. Again, possibly due to the sample size. The male graph was unimodal, only peaking once at the mean

• ## Chopsticks Experiment

The girls also had a lower minimum time value than the boys, 33.46 for the fastest female and 48.5 for the fastest male. However, it can be argued that the males were more consistent in their times than the females. The boys had an Interquartile Range of 84.8 while the girls had and an IQR of 97.98. This means that the middle 50% of the boys’ times were all closer together than the females. Also, the males had a lower maximum time than the females, 323.98 for the slowest male and 339 for the slowest female.…

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• ## Gender Differences In Game Distribution

The tested games were focused on a competitive aspect, and given that men are more competitive than women, according to (Niederle & Vesterlund, 2011), this can be a good explanation of this wide difference. This is not conclusive data, but men showed higher interest in playing and/or starting games, on average, than women did. Table 5-5 shows the percentage of games created by gender. Although only four females participated in the field test, data shows that 50% of them created or started a game, while 67% of males started a game. The difference here is not that wide, comparing with previous data (Table 5-4) where the number of male participants was much higher than females.…

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• ## Marvin Zuckerman's Sensation Seeking Theory

This indicates higher total SSS for males than females. However, the female age group 20-29 and 30-39 showed higher total SSS than males. Also, for both genders total SSS is seen to decline consistently with age. Subscale scores (IAS) and (DIS) showed significantly greater for males than females at all ages. However, the (BS) and (ES) subscale scores showed a significantly greater for females only at age range from…

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• ## The Differences Between Gastrocnemius Vs. Soleus And Hopcle

“Female athletes had an average leap of 43.71 ± 4.96.” (Abidin, 2011) This mean is much higher than the mean for our females, even the athletic females, in our experiment. The training the athletes in Abidins’ experiment had to undergo was much more intense than majority of our female participants. Some possible sources of error for this experiment were measurements, clothing, and effort. If one individual is not measuring the same way as another, the results…

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• ## The Paradox Of Social Class And Sports

Results in the second model were the same as the first with one exception: “women in the highest income category are more than twice as likely to have attended then women in the lowest income category” (Wilson, 2002, pg.8). The analysis of the third model included the four control demographic variables. Wilson’s analysis resulted in the following comparisons: “Among men…75.6 percent of the most affluent and 80.7 percent of the best educated participate in sports, compared to fewer than half of the least affluent or the least educated. Among women, roughly two-thirds of both the most affluent and of the best educated participated, compared to a little more of a third of those with lowest incomes or least education. The influence of income and of education on sports participation are roughly equal for women… whereas for men the influence of education is somewhat stronger than for income” (Wilson, 2002, pg.…

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• ## The Effect Of Exercise On Pulse Rates

Thought there is not a lot of subjects studied, sex differences can lead to different respiratory responses to exercise. It has been proven then women, on average, generally have a “smaller lung [volume] and maximal [exhale] rates” even when compared to a male of similar height. There has even been a report on the correlation of women on the menstrual cycles and ventilation (Sheel). Graph 1 shows the comparison between the average resting respiration rate of the males and females tested. On average, the males had a resting respiration rate of 17.25 breaths/min and the females and a significantly lower 14.5 breaths/min.…

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• ## High And Low Screen Time Essay

The higher a socioeconomic background a child came from the smaller the screen viewing time. There was a relationship between increased screen time and a higher Body Mass Index measurement but it was not statistically significant. Every hour of extra screen time was associated with 13 minutes less in moderate to vigorous physical activity (MVPA). There was a negative relationship between screen time and sleep. Extreme users were the top 25% of screen users and spent more than 300 minutes per day looking at a screen.…

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• ## Analysis Of Variance

Interestingly, the mean amplitude of Graph 2 shows slightly a significant change between modality, the paired samples t-test provided no significant effect except FC2. The source memory over FC2 was the most positive waveform of FN400 than others (Graph 2). Thus, it has been found that acoustic brands had a larger negative amplitude than visual brands at FC2, even though the amplitudes not seen in this Graph 2 due to more positivity, paired samples t-test found a significant difference t(30) = 2.31, p = .028, but not at F1 t(30) =1.48, p = .153 (Figure 2, Graph 2). As a conclusion, the modality effect could not determine according to peak amplitude except FC2 which visual brands had larger positive peak than…

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• ## Gender Segregation In Professional Sports

While the total of endorsements and sponsorships agreements for the majority of top male athletes’ are double the salaries that women receive. Bhonslay articulates the fact that to this day, “the financial gender gap remains visibly pronounced” (61). Publishers of Gender Equality Women in Sports, Jones and Bartlett once again articulate this sentiment. According to Gender Equality and Women in Sports: “Historically, women have been discriminated against in sports and have not been provided with the same opportunities as men…a vast disparity has existed between men’s and women’s sports” (489). These statics affirm that through their development, professional sports have authorized gender inequality and segregation.…

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• ## Nt1310 Unit 7 Exercise 1

There are two options for the distribution of the percentages based on which is the highest at the end of assessments. The first is the mid semester test is worth 20% and the Exam 60% or the mid semester test is worth 10% and the exam worth 70%. 4. a. The distribution of the data is positively skewed. The data observed contains 390 variables, the lowest value recorded is 0 and the highest is 38.…

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