Understanding Fair Tests: Repetition, Replication, and Accuracy in Scientific Experiments
Explore the importance of repetition and replication in fair scientific tests, accurate observation, measurement, and data recording to ensure reliable and trustworthy experimental results.
Understanding Fair Tests: Repetition, Replication, and Accuracy in Scientific Experiments
1.
A shoe company
claims:
Ournew running
shoes will make you
run 100 meters 5
seconds faster than
your usual time!
2.
Guide Questions:
• Doyou believe the claim
immediately? Why or why not?
• How can we test if the claim is true?
• Should we test it only once or many
times? Why?
• What might affect the result of the
experiment?
OBJECTIVES:
• Explain theimportance of repetition
in scientific investigation
• Explain the importance of
replication in scientific investigation
• Demonstrate proper observing,
measuring, and recording of data
• Appreciate why accuracy is
important in science
5.
In science, afair test is not only
about controlling variables.
We must also ensure:
• Results are reliable
• Data is accurate
• Findings can be trusted
• Experiments can be repeated
👉 Two important features of a fair
test:
INTRODUCTI
ON
6.
In science, afair test is not only
about controlling variables.
We must also ensure:
• Results are reliable
• Data is accurate
• Findings can be trusted
• Experiments can be
NTRODUCTION
7.
What are thetwo
important features of
a fair test
Questio
n
• The SAMEscientist
repeats the SAME
experiment several
times
• It is done under the
WHAT IS
REPETITION?
10.
• To checkconsistency of
results
• To reduce random errors
• To increase reliability
• To ensure precision of
data
PURPOSE OF
REPETITION:
11.
EXAMPLE OF REPETITION
(SHOEEXPERIMENT)
Step 1: Old shoes
• Run 100 meters
• Trial 1: record time
• Trial 2: record time
• Trial 3: record time
Step 2: New shoes
• Run 100 meters
• Trial 1: record time
• Trial 2: record time
• Trial 3: record time
12.
EXAMPLE OF REPETITION
(SHOEEXPERIMENT)
Then compare the average results.
Guide Questions:
1.Are the results exactly the same each
time?
2.What do we do if results are slightly
different?
• A DIFFERENTscientist
repeats the SAME
experiment
• Under the SAME
conditions
• To verify the results
WHAT IS
REPLICATION?
15.
• To checkaccuracy of
findings
• To confirm reliability
• To ensure results are
not biased or personal
PURPOSE OF
REPLICATION:
16.
EXAMPLE OF REPLICATION
Youconducted the shoe experiment.
Now another student:
• Uses the same shoes
• Runs the same distance (100
meters)
• Uses the same procedure
17.
EXAMPLE OF REPLICATION
•If both results are the same,
what does it mean?
• What if results are different?
• Why do we need other scientists
to repeat experiments?
18.
Repetition Replication
Same scientistDifferent scientist
Many trials
Same experiment
repeated
Checks precision Checks accuracy
Reduces random error Confirms findings
REPETITION VS REPLICATION
19.
1.Which one isdone by
YOU?
2.Which one is done by
OTHER scientists?
Questio
n
21.
ART FAIR TESTACTIVITY
Step 1:
• Draw the same artwork using
CRAYONS on cardboard
Step 2:
• Repeat the SAME artwork using:
• Watercolor
• Oil pastel
22.
GUIDE QUESTIONS:
1.Which materialworked best on
cardboard? Why?
2.Did you follow a fair test? Why or why
not?
3.What makes this activity similar to
repetition?
4.Why is replication important in arts and
MPORTANCE OF ACCURACY
Inscience investigations:
• Data must be correct
• Observations must be clear
• Measurements must be precise
• Records must be complete
WHY?
• Because conclusions depend
entirely on data.
26.
Using the sensesto carefully notice
details
Good observation includes:
• Watching carefully
• Noticing changes
• Identifying patterns
OBSERVING
Using correct toolsand units to get
accurate data
Tools used in science:
• Thermometer (temperature)
🌡
• Stopwatch (time)
⏱
• Weighing scale (mass)
⚖
• Tape measure 📏 (length)
• Beaker / graduated cylinder 🧪
MEASURING
29.
1.Why is itimportant to use
the correct tool?
2.What happens if we guess
instead of measuring?
MEASURING
30.
Writing down observationsand
measurements immediately and
correctly
Good data recording:
• Neat
• Organized
RECORDING DATA
• Accurate
• Done in real time
31.
1.Why should wenot
wait before recording
data?
2.What if we forget
numbers?
RECORDING DATA
32.
✔ Ensures trustworthyresults
✔ Helps other scientists use
data
✔ Prevents errors
✔ Supports scientific
MPORTANCE OF ACCURACY
33.
1.What is repetition?
2.Whatis replication?
3.Give 2 measuring tools.
4.Why should data be recorded
immediately?
5.Which is more reliable for checking
results—repetition or replication?
Why?
ASSESSMENT
34.
• Repetition =same scientist, many
trials
• Replication = different scientist
repeats experiment
• Observation = careful noticing
• Measurement = using correct tools
GENERALIZATION
Editor's Notes
#3 Good day class! Today we will continue learning how scientists make sure that their experiments are fair, accurate, and trustworthy. We will also learn important skills that real scientists use in the laboratory and in real life.
#10 If you only test once, your result might be wrong. Repeating helps us confirm if the result is correct or just luck.
#12 “We calculate average time.”
“Results may vary slightly due to human error.”
#13 In science, one result is never enough. Repetition helps us prove that results are not accidental.
#16 “We calculate average time.”
“Results may vary slightly due to human error.”
#17 “It means the result is reliable.”
“It may need more testing.”
#18 “It means the result is reliable.”
“It may need more testing.”
#22 Crayons may be easier on cardboard
Different materials behave differently
Repetition = same drawing by same student
Replication = another student tries same task
#24 Good day class! Today we will continue learning how scientists make sure that their experiments are fair, accurate, and trustworthy. We will also learn important skills that real scientists use in the laboratory and in real life.
#27 “Yes, wrong observation leads to wrong conclusion.”
#29 “To get accurate results.”
“Guessing leads to wrong data.”
#31 We may forget or change the data, leading to wrong results.”