Hypothesis Testing!!
Then I completed the task given on blackboard! it was soooo much fun
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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 = 28.5 cm Start angle = 20 degree Stop angle = 90 degree |
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Step 1: State the
statistical Hypotheses: |
State the null hypothesis
(H0): Catapult A when compared
to Catapult B shows no difference in flying distance
State the alternative
hypothesis (H1): Catapult A when compared
to Catapult B shows a difference in flying distance |
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Step 2: Formulate an
analysis plan. |
Sample size is 8.
Therefore t-test will be used.
Since the sign of H1
is ≠, a two tailed test is used.
Significance level (α) used in this test is 0.01
|
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Step 3: Calculate the
test statistic |
State the mean and
standard deviation of sample catapult A: Mean – 95.1 cm Standard deviation – 2.4
cm State the mean and
standard deviation of sample catapult B: Mean – 94.1 cm Standard Deviation – 6.51
cm Compute the value of the
test statistic (t): = 0.355 |
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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 = ± 2.977 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 . |
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Conclusion
that answer the initial question |
Catapult was
determined to be consistent throughout manufacturing catapult a as well as Catapult
B. |
|
Compare your
conclusion with the conclusion from the other team members. What
inferences can you make from these comparisons? |
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