Hypothesis # 1 AGE VS. HEALTH
Our study explores how a person's age is directly associated with the amount of drugs consumed. Due to an early exposure to drugs and alcohol, health problems can develop sooner and result in severe issues as individuals grow. Furthermore, it is important to examine the reason of addiction as it may vary for each individual. Our research requires funding because with different government policies, drugs are more accessible and thus, the relationship between age and substance abuse changes. With this information, we will determine how the health implications differ between various age groups and aim to find out the initial reason for the consumption. To conclude, we hypothesize that teenagers are more prone to drug consumption, hence resulting in health complications.
This graph depicts the response to physical health issues that correspond to the age it is being consumed. Of the 11, 090 cases conducted the results show that drugs are connected to physical health. At the ages of 25-34 there is a significant spike of harm to physical health which more than doubles the other age groups. The finding is interesting because the spike is at 39.2% only in this category. This can be the result of the growing dependency on drugs. A possible cause of this could be related to work/ social life. Early exposure to drugs can deteriorate an individual’s health at a rapid rate. It has negative effects to the body especially with the convenient accessibility to drugs. This survey indicates how early drug exposure can harm a person in the later future. Our data proves our hypothesis that teens are more prone to drugs which result to health complications.
This graph shows the correlation between the effects of drugs to a person’s learning abilities. The pattern demonstrates that consumers have more difficulty learning in the age group of 25-34. These results are similar to the connection between drugs and physical health. This connection proves that the intake of drugs negatively impacts a person’s wellbeing. During the ages of 25-34, consumers can have a harder time learning because of drug use. It can be said that in later years, the individual has either attempted or finished their education under the influence of drugs. Another reason could be finding professional help for substance abuse. Hence, after the age of 34, the difficulty of learning decreases. During the younger ages (15-25) an individual learns most and absorbs information better. With the funding of government policies, teaching the community about learning disabilities’ connection with drugs would prevent the limitation of learning at the highest individual potential.
The graph represents the relationship between the AUDIT (Alcohol Use Disorder Identification Test) levels and the ages from 15 -65+. The AUDIT levels show how prone individuals are to health. It is said that an individual that has an AUDIT level of 8 and above is more prone to health issues. At these levels, an individual may face the likelihood of future health concerns including liver disease, depression and a pattern of alcohol related injuries. An obvious observation is that the ages of 35-44 have a higher risk of illness compared to any other age group. These results indicate how the ages 35-44 have the highest risk of health complications. This can be caused by prior alcohol abuse in younger ages. There is a trend of the risk becoming higher as the age reaches 44 which can be related to early exposure to alcohol leading to addiction. This pattern suggests that individuals are at a higher risk of health complication by alcohol abuse or lack of education on dangerous alcohol intake. This is important to examine because the bodily harms from alcohol abuse can be prevented/reduced by educating the community on its causes and effects. To avoid later health complications, these results should be addressed to a younger demographic (15-24) for a better and healthier lifestyle.
(Data collected for Yes)
Max:39.2% , Min:1.3%
Range:37.9%
Q1: 6.35%, Q2: 11.55%, Q3: 16.3% , IQR: 9.95%
Mean: 3.54% , Med: 14.2%, Variance: 1.32%
SD: 1.32%.
Skew: 1.431397% (Slightly skewed to the right)
Kurtosis: 2.747361% (Peaked)
Analysis:
The amount of health issues for individuals aged from 18-24 and 25-34 is larger than expected. The calculations show that maximum 39.2% aged from 25-34 suffer from health issues and only a minimum of 1.3% aged 65 and above suffer less harm due to drug usage. The average amount of health issues is 37.9% with SD of 1.32%.
The mean for the “yes” option is closely related to the standard deviation which is 1.32% because the sample as a whole presents that majority of the addicts displayed negative physical harmful effects. The age group of 25-34 has significant impact on the study and skews the data in favour of the certain age group, hence despite the standard deviation being closely related to the mean, the mean itself is altered due to the outlier (25-34).
(Data collected for Yes)
Max:40.8% , Min:0.2%
Range:40.6
Q1: 8.55%, Q2: 10.7%, Q3: 15.55%, IQR: 7%
Mean: 3.41%,
Med: 10.7%, SD: 1.39%
Kurtosis: 3.893632% (Peaked)
Variance:164.2457%
Analysis:
The calculations shows that maximum 40.8% of the Individuals aged from 25-34 years have difficulty in learning things while individuals aged 65+ have only a minimum amount of 0.2% difficulty. This shows that the effects of drug usage on learning abilities are directly related to age. However, the amount is larger than expected for individuals aged from 18 to 24. The average amount of health issues related to drug usage is 40.6% with a SD of 1.39%. The most affected age group when it comes academics is once again 25-34 year olds, The low standard deviation reflects that the data is closely clustered to the mean and doesn’t fluctuate that much. The mean in this case as well is being affected by the outlier of the 25-34 age-group as it shows an extremely high percentage from the usual consistent data provided by the rest of the age groups.
(Age 18 to 35)
Max: 38.4%, Min: 0.0%, Range: 38.4%
Q1: 11.1%,
Q2: 15.6%, Q3: 19%, IQR: 7.9%,
Mean: 15.436%,
Med: 15.6%, SD: 7.70205%
Skew: 0.771033%
Kurtosis: 2.336937%
(high peak)
Variance: 59.32157%
Analysis:
The table illustrates how harm to an individual's health increases with the number of audit score. As you can see, 38.4% of the individuals aged between 18 to 35 have an audit score of 10, which is also a larger value than expected. While only 0.0% of the same age group have an audit score of 12. The average amount of audit scores related to health issues is 38.4% with a SD of 7.70205%. The higher standard deviation indicates that the data is more dispersed and is further from the mean which makes sense because the multiple options from 1-12 can amount to a higher mean.
Illustration Analysis
Graph #1
Graph #2
Graph #3
Descriptive Numerical Statistics