Hypothesis testing
Hi everybody, I'm back with my 5TH blog!!!!
What is Hypothesis Testing?
Hypothesis testing refers to the formal procedures used by experimenters or researchers to accept or reject statistical hypotheses.
A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true.
2 types of statistical hypothesis:
1) Null Hypothesis (H0) states that differences in sample observations result purely from chance and that there is no statistically-significant difference in a set of given observations.
2) Alternative Hypothesis (H1) states that differences in sample observations are statistically-significant and influenced by some non-random causes.
Hypothesis testing is used to answer questions such as:
- Is the new material as strong as the old one?
- Is the performance of our product enhanced after undergoing the revamp?
- Does our product last longer than that of our competitors?
DOE PRACTICAL TEAM MEMBERS (fill this according to your DOE practical):
1. Ryan (Iron Man)
2. Hai Teng (Thor)
3. Fion (Captain America)
4. Isabella (Black Widow)
5. Wayne (Hulk)
Data collected for FULL factorial design using CATAPULT A (fill this according to your DOE practical
result):

Iron Man will use Run #1 and Run#3. To determine the effect of projectile weight.
Thor will use will use Run #2 and Run#4. To determine the effect of projectile weight.
Captain America will use Run #2 and Run#6. To determine the effect of stop angle.
Black Widow will use Run #4 and Run#8. To determine the effect of stop angle.
Hulk will use Run #6 and Run#8. To determine the effect of projectile weight.
The QUESTION | To determine the effect of projectile weight on the flying distance of the
projectile |
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 is collected using the factors below: Arm length = 27 cm Projectile weight = 0.86 grams
and 2.06 grams Stop angle = 72 degree |
Step 1: State the
statistical Hypotheses: | State the null hypothesis
(H0): State the alternative
hypothesis (H1): The effect of projectile weight on the flying distance of projectile is significant. |
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 0.05 |
Step 3: Calculate the
test statistic | State the mean and
standard deviation of Run #6: Mean (X1): 191.8 Standard deviations (S1): 3.02 State the mean and
standard deviation of Run #8: Mean (X2): 185.6 Standard deviations (S2): 3.58 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 REJECTED. |
Conclusion
that answer the initial question | This shows that the effect of projectile weight on the flying distance of projectile is significant. |
Compare your
conclusion with the conclusion from the other team members. | |
What
inferences can you make from these comparisons? | |
Your learning
reflection on this Hypothesis testing activity |



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