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. STRENGTHS
i. Quantitative: objective, reliable, models ignore flukes and outliers. Can be used to predict and give a specific description, with appropriate units, of a phenomena.
or process.
LIMITATIONS
Quantitative: statistical analysis problems. Ie. Sample size. Hasty generalization from a limited sample size. Danger of not taking outliers into consideration when they may be important.
Qualitative: Perspective is subjective depending on the person, so it’s hard to make certain observations. Cannot do any statistical analysis on them (which people rely on so much)
a. Human Sciences: majority of people in experiments chosen to represent a phenomena (Bandura) but qualitative data is essential (Autobiography stories, Bandura, Phineas Gage case study) because behavior varies wildly
b. Natural Sciences: mathematical models, equations, etc investigated to conclude, but qualitative data needed in some branches more than quantitative (Biology: describing processes, characteristics of species etc.).
c. Example: Freud : absence of quantitative data = inconclusive, no predictions. BUT qualitative data gave valuable insight to the unconscious mind
d. = cannot ignore the value of qualitative data: numbers would be nothing without the descriptions that surround them

1. To what extent is truth different in mathematics, the arts and ethics?
2. Examine the ways empirical evidence should be used to make progress in different areas of knowledge
area o knowledge.4.knowledge.
4. How can
5. “What separates science from all other human activities is its belief in the provisional nature of all conclusions: (Michael Shermer, www.edge.org). Critically evaluate this way of distinguishing the sciences from other areas of knowledge
6. All knowledge claims should be open to rational criticism. On what ground and to what extent would you agree with this assertion?

that create bias etc)
Second groups brainstorming
varies wildly
b.
b. Natural Sciences: species etc.).
c.
c. Example: Freud unconscious mind
d.
d. = cannot surround them

truth to further knowledge), Art, History (primary sources dependent on perception, talk about perception filters
that create bias etc)
Second groups brainstorming
a. Human Sciences: majority of people in experiments chosen to represent a phenomena (Bandura) but qualitative data is essential (Autobiography stories, Bandura, Phineas Gage case study) because behavior varies wildly
b. Natural Sciences: mathematical models, equations, etc investigated to conclude, but qualitative data needed in some branches more than quantitative (Biology: describing processes, characteristics of species etc.).
c. Example: Freud : absence of quantitative data = inconclusive, no predictions. BUT qualitative data gave valuable insight to the unconscious mind
d. = cannot ignore the value of qualitative data: numbers would be nothing without the descriptions that surround them

Type. STRENGTHS
i. Quantitative: objective, reliable, models ignore flukes and outliers. Can be used to predict and give a specific description, with appropriate units, of a phenomena.
ii. Qualitative: descriptive, gives significance, more in the contentdepth, opens doors to further areas of your page here.study. Can be used to gain insight and understanding of a phenomena or process.
LIMITATIONS
Quantitative: statistical analysis problems. Ie. Sample size. Hasty generalization from a limited sample size. Danger of not taking outliers into consideration when they may be important.
Qualitative: Perspective is subjective depending on the person, so it’s hard to make certain observations. Cannot do any statistical analysis on them (which people rely on so much)

TypeAre there similarities and differences of how knowledge is attained in both history and natural science?
Similarities: Based on observation and
Perception is vital source of knowledge in both areas of knowledge. Yet, the contentknowledge may be fallible as the perception can be affected by the expectation, background, and beliefs of your page here.the people. For instance, when perceiving the raw data, people tend to use the confirmation bias to support their own beliefs.
Fallibility
- Vulnerable to bias
Differences – quantitative vs. qualitative
- Scientific involves numerical
- Based on axioms – largely dependent
Natural Science – empirical evidence
History- second hand empirical evidence
Differences: Quantitative vs Qualitative data. Natural science is based on the primary source. While History is based on the second hand source such as eyewitness account.

TypeNamely, what is the difference between the knowledge that is discovered and invented?
Discovered- Math, Natural Science
Invented – History, Ethics
Discovered Knowledge = knowledge that pre-existed before the human era, and the knowledge that existed in the contentnature. Therefore, people are merely finding the knowledge that pre-existed in the nature.
Invented Knowledge = knowledge that are created by human standards, and thus are created after the existence of your page here.humans.

8. “People need to believe that order can be glimpsed in the chaos of events" (adapted from John Gray, Heresies, 2004). In what ways and to what extent would you say this claim is relevant in at least two areas of knowledge?
9. Discuss the claim that some areas of knowledge are discovered and others are invented.
scientific explanations?

1. To what extent is truth different in mathematics, the arts and ethics?
2. Examine the ways empirical evidence should be used to make progress in different areas of knowledge
area o knowledge.
4.knowledge.4. How can
5. “What separates science from all other human activities is its belief in the provisional nature of all conclusions: (Michael Shermer, www.edge.org). Critically evaluate this way of distinguishing the sciences from other areas of knowledge
6. All knowledge claims should be open to rational criticism. On what ground and to what extent would you agree with this assertion?

Type in the content of your page here.