HYPOTHESIS TESTING TASK FOR INDIVIDUAL BLOG
For this assignment, you will use the DOE experimental data
that your practical team have collected both for FULL Factorial and FRACTIONAL
Factorial.
DOE PRACTICAL TEAM MEMBERS (fill
this according to your DOE practical):
1. Person A (Jun Weng)
2. Person B (Roy)
3. Person C (Adam)
4. Person D (yongjie)
5. Person E (peijie)
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):
Jun Weng will use Run #2 from FRACTIONAL factorial and Run#2
from FULL factorial.
Roy will use Run #3 from FRACTIONAL factorial and Run#3 from
FULL factorial.
Adam will use Run #5 from FRACTIONAL factorial and Run#5
from FULL factorial.
yongjie will use Run #8 from FRACTIONAL factorial and Run#8
from FULL factorial.
peijie will use Run #3 from FRACTIONAL factorial and Run#3
from FULL factorial.
USE
THIS TEMPLATE TABLE and fill all the blanks
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. |
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 = 28 cm Start angle = 20 degree Stop angle = 60 degree |
Step 1: State the
statistical Hypotheses: |
State the null hypothesis
(H0):
Both catapults A and B has
same flying distances of the projectile
State the alternative
hypothesis (H1): Catapults A and B do not
have the same flying distances of the projectile |
Step 2: Formulate an
analysis plan. |
Sample size is 8 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
|
Step 3: Calculate the
test statistic |
State the mean and
standard deviation of sample catapult A:
nA = 8 runs Mean = 156.4cm Standard Deviation = 3.43cm State the mean and
standard deviation of sample catapult B: nA = 8 runs Mean = 155.325cm Standard Deviation = 4.40cm
Compute the value of the
test statistic (t): |
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
Therefore Ho is accepted. |
Conclusion
that answer the initial question |
Since the
null hypothesis is accepted, Both catapults A and B has same flying distances
of the projectile |
Compare your
conclusion with the conclusion from the other team members. What
inferences can you make from these comparisons? |
|
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