Applications of Statistics
1. What is the difference between Descriptive and Inferential Statistics?
- Descriptive statistics describe the data without drawing a meaningful conclusion.
This is used in everyday events such as sports data, income, accidents, and
prices of goods.
- Inferential statistics analyzes the given data to draw a meaningful inference and
conclusion through testing or predictions and uses probability concepts.
Examples include weather forecasting and stock market.
2. Give one specific application of statistics in the following fields.
a. EDUCATION
- This can gauge individual student knowledge to create a report card to each student
with a different set of grades. - This may also gauge class performance to analyze the
effectiveness of teaching ethics in the faculty by organizing the students in a classroom,
an example of a "sample" in a "population".
- Through these collections of student data, a school can improve itself and lessen it's
defects and flaws in the teaching process.
b. ECONOMICS
- This can measure the sales and trends of a market's stocks to analyze defects and
quality of a product.
- This may motivate investors to place their money on a product that may rise in the
stock market.
- This may forecast the sales of a product each and every year and month and predict
income.
c. BIOLOGY
- This may act as a part of research in the effectiveness of medicine, for certain
illnesses.
- Qualitative research may play a huge part in selecting certain samples and selecting
the right number of trials to reach a conclusion.
- This may verify conclusions and summarize results of an experiment through
randomized trials and samplings.
3. Cite specific situations that involves the use of descriptive statistics and inferential
statistics
DESCRIPTIVE
- Business Sales Report
- Average Hits of a Taekwondo Player per Game
- Student Report Card
-
INFERENTIAL
Weather 2 weeks from now
Chance of rain tomorrow
4.
5. Discuss the advantages and disadvantages of the following methods:
● Interview Method
Advantage:
- It may be a good way to extract information to those who have had a
certain experience.
- It may conduct detailed evaluations from subjects
Disadvantage:
- Different people may mean different answers.
- It may group people into stereotypes
●
Questionnaire Method
Advantage:
- It may be printed, so it may extract information from more people
Disadvantage:
- Sometimes the respondents would not like to answer
- May not extract detailed data from people
6. What advantages does each of the following data have?
- Tabular
> More accurate since it's in a list form, data is straightforward
-
Graphical
> Graphics look more appealing to the eye, helps understand everything better
from afar such as in a team meeting