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Hypothesis Testing

Writer's picture: Gren Private (HR)Gren Private (HR)

The task was for me to determine if the Catapults used during the challenge with the consistency of the product that the manufacturer had manufactured


Of course, we need to have to set the scope of the test.


Here are the things we stated. The human factor is assumed to be negligible. Therefore different users will not have any effect on the flying distance of the projectile.

There are 3 factors that were used to collect the samples of data:

Arm Length = 31cm

Start Angle = 20 degrees

Stop Angle = 95 degrees


Now we need to state the statistical hypotheses.


The null hypothesis (H0):

The is no significant difference between Catapult A and Catapult B with reference to the flying distance of the projectile.

x̄1 = x̄2


The null hypothesis (H1):

The is a significant difference between Catapult A and Catapult B with reference to the flying distance of the projectile.

x̄1 ≠ x̄2


Afterwards, we need an analysis plan.

The sample size is 16, Therefore t-test will be used.


Since the sign of H1 is ≠, a two-tailed test is used


The significance level (α) used in this test is 0.05


Now we calculate the test statistics


Using the formulas, we need to find t, σ and v using the data we collected

t = 5.356

v = 14

σ = 2.763


Making a decision


Since it is a two-tailed test, the critical valve of tα/2 = ± 2.145


Comparing the values of test statistics, t, and critical value(s), tα or ± tα/2

Test statistics, t is outside the acceptable range.

Therefore Ho is Rejected. H1 is Accepted.


Conclusion


There is a significant difference between Catapult A and Catapult B with reference to the flying distance of the projectile.

x̄1 ≠ x̄2


Comparison with team members


My conclusion matches with the rest of my team member’s conclusions where there is a significant difference between Catapult A and Catapult B.


I can infer that the consistency of manufacturing of the two catapults can vary and is not constant.

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