3.3 | INDUCTIVE VS DEDUCTIVE REASONING | MATHEMATICS IN THE MODERN WORLD | ALOPOGS
Summary
TLDRThis educational video script delves into the concepts of inductive and deductive reasoning in mathematics. It explains that inductive reasoning involves forming general conclusions from specific examples, while deductive reasoning starts with general observations to make specific decisions. The script highlights the importance of both methods in mathematical theorems and proofs, and provides examples to illustrate how each type of reasoning is applied. It emphasizes the certainty of deductive reasoning when premises are correct, and the tentative nature of inductive reasoning, which can lead to hypotheses. The video encourages the use of both reasoning methods cyclically to solve problems effectively.
Takeaways
- π§ Inductive reasoning involves reaching a general conclusion by examining specific examples, while deductive reasoning starts with a general theory and makes specific decisions based on that theory.
- π Mathematical reasoning is crucial for evaluating situations, choosing problem-solving strategies, and understanding when solutions can be applied.
- π Today's formal theorems and proofs in mathematics have their roots in inductive and deductive reasoning.
- π Deductive reasoning provides correct conclusions if the premises are 100% correct, whereas inductive reasoning's conclusions may not always be valid due to the nature of generalizing from specific instances.
- π Both types of reasoning are often used together in a cyclical manner, with inductive reasoning used to form hypotheses and deductive reasoning to prove them.
- π« A key pitfall to avoid is mistaking inductive reasoning, which is based on the strength of evidence, for deductive reasoning, which is guaranteed to be true if the premises are correct.
- π Inductive reasoning is valuable for everyday problem-solving, especially when dealing with partial information, whereas deductive reasoning is more challenging to apply outside of controlled settings.
- π Examples of inductive reasoning include making assumptions about individuals based on observations of a group, while deductive reasoning involves applying general rules to specific cases.
- π In mathematics, deductive reasoning is often used in proofs, where a conclusion is drawn from accepted premises, ensuring the conclusion's validity.
- π’ Inductive reasoning can be applied to number patterns to predict the next term in a sequence, such as identifying even numbers or multiples of a certain number.
Q & A
What is mathematical reasoning?
-Mathematical reasoning enables us to use all other mathematical skills, recognizing that mathematics is indispensable, makes sense, and can be understood. It involves evaluating situations, choosing appropriate problem-solving strategies, drawing logical conclusions, and determining when solutions can be applied.
How does mathematical reasoning help in problem-solving?
-Mathematical reasoning helps in problem-solving by allowing individuals to reflect on solutions, determine their validity, and appreciate the comprehensive nature and influence of reasoning in mathematics.
What is the difference between inductive and deductive reasoning?
-Inductive reasoning involves reaching a general conclusion by examining specific examples, while deductive reasoning starts with general observations and makes specific decisions based on that information.
How do mathematicians use inductive and deductive reasoning in theorems and proofs?
-Mathematicians use inductive reasoning to form hypotheses and deductive reasoning to prove ideas. The process involves moving from observation to generalization in inductive reasoning and from theory to experiment to validation in deductive reasoning.
Why is deductive reasoning considered to yield perfect conclusions?
-Deductive reasoning is considered to yield perfect conclusions because if all the premises are 100% correct, the conclusions drawn from them are also correct and valid.
What is the limitation of deductive reasoning in non-laboratory or science settings?
-Deductive reasoning is harder to use outside of laboratory or science settings because it's often challenging to find a set of fully agreed-upon facts to structure the argument.
How can inductive reasoning be used in everyday problems?
-Inductive reasoning is used in everyday problems that deal with partial information about the world, allowing for the development of usable conclusions that may not be universally correct.
What is an example of inductive reasoning provided in the script?
-An example of inductive reasoning is: 'John is an excellent swimmer, Jan's family has a swimming pool, therefore we conclude that Jan's sister, Mary, must also be an excellent swimmer.'
Can you provide an example of deductive reasoning from the script?
-An example of deductive reasoning is: 'All numbers ending in 0 or 5 are divisible by 5. The number 35 ends with 5, therefore 35 is divisible by 5.'
How can inductive and deductive reasoning be used together to solve problems?
-Inductive and deductive reasoning can be used together cyclically, for example, by using induction to come up with a theory and then using deduction to determine if it's actually true.
What is the importance of being cautious when using inductive reasoning?
-It's important to be cautious with inductive reasoning because not all conclusions can be accepted as they may not be correct in all circumstances, unlike deductive reasoning, which is guaranteed to be true if the premises are correct.
Outlines
π Introduction to Inductive and Deductive Reasoning
This paragraph introduces the concepts of inductive and deductive reasoning in mathematics. It emphasizes the importance of mathematical reasoning in understanding and applying mathematical skills. Inductive reasoning is described as reaching general conclusions from specific examples, while deductive reasoning involves making specific decisions based on general observations. The paragraph also discusses how these reasoning methods are fundamental to the creation of mathematical theorems and proofs. The process of inductive reasoning starts with data and moves to general conclusions, whereas deductive reasoning starts with theory and moves to specific confirmations. The validity of conclusions in inductive reasoning may vary, but deductive reasoning provides correct conclusions if the premises are correct. The paragraph concludes by encouraging the use of both reasoning methods to solve problems, often in a cyclical manner.
π Examples and Applications of Reasoning Methods
The second paragraph provides examples to illustrate the difference between inductive and deductive reasoning. Inductive reasoning examples include assumptions about swimming ability based on family traits, generalizing behavior from a single instance, and inferring the contents of a bag from a few observations. These examples highlight the potential for incorrect conclusions due to the nature of inductive reasoning. Deductive reasoning examples involve applying general rules to specific cases, such as divisibility by 5 and properties of geometric shapes. The paragraph also includes exercises to identify whether a given reasoning process is inductive or deductive, and it discusses the use of reasoning in pattern recognition and problem-solving. The examples demonstrate how inductive reasoning can lead to hypotheses and how deductive reasoning can validate these hypotheses.
π Further Exploration of Deductive Reasoning and Proofs
The final paragraph delves deeper into deductive reasoning with a focus on proofs and logical conclusions. It explains that deductive reasoning involves drawing specific conclusions from general principles or premises. The paragraph provides an example of proving that a quadrilateral is a parallelogram by demonstrating that opposite sides are parallel. It contrasts this with inductive reasoning, which formulates hypotheses and theories from specific instances. The paragraph also discusses the certainty of conclusions in deductive reasoning, provided the premises are true, and the inherent uncertainty in inductive reasoning, which can sometimes yield false conclusions even if all premises are true. The discussion concludes with a reiteration of the importance of using both inductive and deductive reasoning in scientific and mathematical contexts.
Mindmap
Keywords
π‘Inductive Reasoning
π‘Deductive Reasoning
π‘Mathematical Reasoning
π‘Theorems and Proofs
π‘Generalization
π‘Hypothesis
π‘Observation
π‘Conclusion
π‘Premise
π‘Pattern
Highlights
Mathematical reasoning is essential for understanding and applying mathematics effectively.
Inductive reasoning involves reaching general conclusions from specific examples.
Deductive reasoning starts with general observations to make specific decisions.
Deductive reasoning leads to correct conclusions if the premises are 100% correct.
Inductive reasoning forms hypotheses based on observations and patterns.
Deductive reasoning is used to prove ideas by starting with a theory and moving to confirmation.
Inductive reasoning is used for everyday problems with partial information, leading to usable but not always correct conclusions.
Both inductive and deductive reasoning can be used cyclically to solve problems.
Inductive reasoning may not always yield correct conclusions, unlike deductive reasoning which is certain if premises are true.
Examples of inductive reasoning include making assumptions about individuals based on specific observations.
Examples of deductive reasoning include applying general rules to specific cases to reach a conclusion.
Inductive reasoning is illustrated through examples involving assumptions about groups based on specific instances.
Deductive reasoning examples involve applying general principles to specific scenarios to confirm a theory.
Inductive reasoning can be used to identify patterns in numbers, leading to generalizations about sequences.
Deductive reasoning is used in geometry to prove properties, such as proving a quadrilateral is a parallelogram.
The transcript provides a comprehensive overview of the application and importance of inductive and deductive reasoning in mathematics.
Transcripts
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yes morning to all of you
i will discuss our lesson for today
which is
about inductive and deductive reasoning
mathematical reasoning enables us to use
all other mathematical skills with
mathematical reasoning
we recognize that mathematics is
indispensable
that it makes sense and it can be
understood
we then learn how to evaluate situations
opt for appropriate problem solving
strategies
geological conclusions develop and
describe
solutions and identity when those
solutions can be applied
mathematical prisoners are able to
reflect on solutions to problems
and determine whether or not they make
sense
then students can appreciate the
all-encompassing news and influence of
reasoning
as part of mathematics let us first
define
the inductive reasoning and the
deductive reasoning
inductive reasoning is the process of
reaching a general conclusion
by examining specific examples
today's formal theorems and proofs
originated with these two forms of
reasoning
in inductive reasoning likewise refers
to the process of making generalized
decisions after observing or witnessing
repeated specific instances of something
on the other hand deductive reasoning
refers to the process of taking the
information gathered from
general observations and making specific
decisions
based on that information mathematicians
are still using these types of reasoning
to discover new mathematical theorems
and proofs
deductive starts with theory and passes
through
an observation and then
arrived at the confirmation whereas the
inductive reasoning
starts with data and then conclusions
from inferences
or from observations or experimentations
and arrive at the general accepted
truth or what we call the theory
a conclusion reached by inductive
reasoning
may or may not be valid the conclusions
raised by deductive reasoning are
correct
and valid inductive reasoning is used to
form hypotheses
while deductive reasoning is used to
prove ideas
so another this is the diagram for
inductive reasoning
and for deductive reasoning
so for deduction started from theory
then followed by hypothesis observation
and then confirmation or affirmation of
the theory presented
in the induction it starts from
observation
then go to pattern tentative hypothesis
and then arriving at a theory
or a conjecture what
do mathematicians say about deductive
and inductive reasoning deduction gets
you the perfect conclusion
but only if all your premises are 100
percent correct
deduction moves from theory to
experiment
to validation when induction moves from
observation to generalization to fury
deduction is harder to use outside of
laboratory or science settings
because it's often hard to find a set of
fully agreed upon facts
to structure the argument induction is
used constantly
because it's great tool for everyday
problems
that deal with partial information about
our world
and coming up with usable conclusions
that may not be right in
all cases so therefore in inductions
not all conclusions can be accepted
because those may not be right in all
circumstances
number five be willing to use both types
of reasoning to solve problems
and know that they can often be used
together
cyclically as a pair for example
use induction to come up with a theory
and then use deduction to determine if
it's
actually true the main thing to avoid
with these two is
arguing with the force of deduction that
is guaranteed to be true
while actually using induction the
probability is based on strength of
evidence here are some examples of
inductive reasoning
number one we have here john is an
excellent swimmer
jan's family has a swimming pool then
therefore we conclude that jun's sister
mary must also be an excellent swimmer
so with this example it's up to you if
the conclusion or the conjecture is
acceptable
or accepted to be true number two
elijah is good looking elijah is well
behaved
therefore all good looking are well
behaved so we can see here
that the conclusion is based on the
premises but we can say that the
conclusions
the conclusion is not always true
number three the coin pulled from a bag
is a penny a second coin from the back
is a penny
therefore all the coins in the back are
pennies
number next number children in the
daycare center are playful
children in the daycare center like to
play with legos
therefore playful children like to play
legos
for deductive reasoning we have the
general theory
which says all numbers ending in 0 or 5
are divisible by 5.
the number 35 ends with the 5 so this is
the observation
and your conclusion therefore for
confirmation
therefore 35 is divisible by 5 so this
is true next is all squares are
rectangle
all rectangles have four sides therefore
all squares have four sides
and there are all other examples for
deductive reasoning
like those that are stated in number
three and number four
so when deductive reasoning is stated
first
the theory or the accepted truth the
other statements are accepted also to be
true so we have here some examples of
prisoning
and let us identify whether it is a
deduction or induction
we have all cats have a keen sense of
smell
flappy is a cat so flappy has a keen
sense of
smell so since the statement starts with
all
so it is a general statement therefore
it is a deductive
reasoning number two every time you eat
peanuts
your throat swells up and you can
breathe
this is a symptom of people who are
allergic to peanuts
so you are allergic to peanuts you are
you started from the observation and
then you have the conclusion
that when you eat peanuts you have
or you get an allergy therefore you are
allergic to peanuts
therefore it is an inductive reasoning
and these are also other examples of
reasoning
ray is a football player all football
players
weigh more than 170 pounds ray
weighs more than 170 pounds that is
an inductive started from the specific
statement
and arriving at the general statement
since all squares are rectangles and all
rectangles have four sides
so all spheres have four sides
okay that is a deductive reasoning
if a equals b and b equals c
then a equals c that is a deductive
all cars in this town drive on the right
side of the street
therefore all cars in all towns drive on
the right side of the street
that is an inductive reasoning
so when we apply inductive reasoning
in number pattern we have this 2
4 6 8 10 and what is the next number
if we are asked to find the 19th term so
the la
the following number is
2 n the 19th term because
all these numbers are even numbers and
even numbers are divisible by 2.
so to find the 19th term that is
2 times n 2 times n equals
19 for finding the 19th term times 2
equals 38.
next we have here another pattern
this 6 12 24 so we can see that all
these numbers are multiples of three
so we have the first number three
three times two equals six which is also
the second number
then to find the third number maybe
we can multiply 6 by 2 which is 12
and then we got 24 by multiplying 12 by
2.
then what's the next number after 24
so that is 24 times 2 is 48
and then next number is 48 times 2 which
is 96
and maybe the next number after 96
is 96 times 2 is 192.
another example for deductive reasoning
proof
quad is a parallelogram how can you
prove that
so to find the parallelogram
uh there should be two sides which
are parallel so all sides must be
parallel
so we proved that qd is parallel with ua
and also qu is parallel with d8
therefore if this statements are all
true
then quad is a parallelogram
so that is about inductive
and deductive reasoning so we can
we can see that in inductive reasoning
withdraw general principles from
specific instances
while in deductive reasoning it draws a
specific conclusion from general
principles or premises
a premise is a previous statement or
proposition
from which another is inferred as
follows as a conclusion
unlike inductive reasoning which always
involves uncertainty
the conclusions from deductive inference
are certain provided
the premises are true scientists use
inductive reasoning to formulate
hypotheses and theories
and deductive reasoning when applying
them to specific situations
even if all of the premises are true in
a statement
inductive reasoning may still yield
false
conclusion so those are for deductive
and inductive reasoning
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