Hypothesis Testing
Overview
Welcome back to my blog ! This week's focus is on Hypothesis Testing on the catapult experiment that we did in class.
Here are the DOE team members:
1. Nander (Iron Man)
2. Tzer (Thor)
3. Ashwati (Captain America)
4. Nikkisha (Black Widow)
5. Daryl (Hulk)
Data collected for FULL factorial design using CATAPULT A (fill this according to your DOE practical result)
Data collected for FRACTIONAL
factorial design using CATAPULT B (fill this according to your
DOE practical result):
Iron Man will use Run #2 from FRACTIONAL
factorial and Run#2 from FULL factorial.
Thor will use Run #4 from FRACTIONAL
factorial and Run#4 from FULL factorial.
Captain America will use Run #5 from
FRACTIONAL factorial and Run#5 from FULL factorial.
Black Widow will use Run #8 from FRACTIONAL
factorial and Run#8 from FULL factorial.
Hulk will use Run #4 from FRACTIONAL
factorial and Run#4 from FULL factorial.
Hawkeye will use Run #8 from FRACTIONAL
factorial and Run#8 from FULL factorial.
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The QUESTION |
The catapult (the ones that were used in the DOE
practical) manufacturer needs to determine the consistency of the products
they have manufactured. Therefore, they want to determine whether CATAPULT A
produces the same flying distance of projectile as that of CATAPULT B.
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Scope of the test |
The human
factor is assumed to be negligible. Therefore, different user will not have
any effect on the flying distance of projectile.
Flying distance
for catapult A and catapult B is collected using the factors below: Arm length = 31
cm Start angle = 20
degree Stop angle = 60
degree
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Step 1: State the statistical Hypotheses: |
State the null hypothesis
(H0):
H0: µ1 = µ2
Catapult A and
Catapult B produces equal projectile distance
State the
alternative hypothesis (H1):
H1: µ1 ≠ µ2 Catapult A and Catapult B does not produce equal projectile distance
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Step 2: Formulate an analysis plan. |
Sample size is 16.Therefore t-test will be used.
Since the sign
of H1 is ≠, a
left/two/right tailed test is used.
Significance
level (α) used in this
test is 0.05.
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Step 3: Calculate the test statistic |
State the mean
and standard deviation of sample catapult A:
Mean: 100.4 Standard
Deviation: 2.93
State the mean
and standard deviation of sample catapult B:
Mean: 118.8 Standard
Deviation: 3.15
Compute the value of the test statistic (t): |
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Step 4: Make a decision based on result |
Type of test
(check one only) 1. Left-tailed
test: [ __ ] Critical value tα = - ______ 2. Right-tailed test: [ __ ] Critical value tα =
______ 3. Two-tailed test: [ ✓ ] Critical value tα/2 = ± 2.145
Use the
t-distribution table to determine the critical value of tα or tα/2 Compare the values of test
statistics, t, and critical value(s), tα or ± tα/2 Since the value -11.32 lies in the rejection zone Therefore, Ho is rejected.
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Conclusion that answers the initial question |
Catapult A and B does not produce the same projectile distance at the significant level of 0.05
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Compare your conclusion with the conclusion from the other team
members.
What inferences can you make from these comparisons? |
After looking through my group mate's results, I have concluded that their results were similar to mine. Their conclusion was also that the manufacturer had inconsistency in the distance between the two different catapults. |
Reflection
At the start of the lesson, Hypothesis Testing seemed scary. There were a lot of foreign technical terms that I have never ever came across. Hence, it was hard to understand what was going on. I could barely start on any of the 4 questions in the beginning. However, after clarifications with my lecturer, I slowly got the hang of what Hypothesis Testing is and I could carry on with my work. Throughout this process, it made me realize that such methods can be very beneficial for me, in my upcoming projects or lab works. To conclude, I am happy I was taught about this method and I am sure that I will be using this method again and again.
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