215k views
0 votes
1. Why is it important to consider ourselves a statistic

at times?
2. Give some examples of when statistics has been
useful in the medical field. You can use examples in
the video or other examples from other sources.
(Please provide a link to your outside source if you
use one.)
3. Give an example where statistics are useful outside
of the medical field.

User Oleg Cherr
by
7.8k points

1 Answer

4 votes

Final answer:

Considering ourselves as a statistic is important for understanding larger trends and making informed decisions. In the medical field, statistics are crucial for treatment efficacy, policies, and during health crises. Meanwhile, statistics are also vital in various other domains like economics, education, and business.

Step-by-step explanation:

Importance of Considering Ourselves a Statistic

Considering ourselves as a statistic is important because it helps us understand that we are part of larger patterns and trends that can be analyzed. This perspective is particularly useful for making informed decisions and predictions based on statistical evidence that often comes from aggregate data. For instance, understanding statistical data can influence personal decisions such as buying a house or managing a budget.

Usefulness of Statistics in the Medical Field

In the medical field, statistics play a crucial role in various ways. It is used for determining the efficacy of treatments, observing complications, and helping in the study and development of public health policies. Medical statistics have been instrumental during health crises such as the work done by the World Health Organization on HIV/AIDS, Ebola, and COVID-19. Furthermore, statistics are used to analyze medical records to determine trends in illnesses and treatments efficacy.

Statistics in Fields Outside of Medicine

Outside of the medical field, statistics are incredibly useful in areas like economics, education, psychology, and environmental studies. Making decisions based on the frequency and trends seen in statistical data can also apply to business and marketing strategies, understanding environmental changes, and even in improving educational methods or systems.

User Anton Ryabyh
by
7.6k points