A supplier of digital memory cards claims that less than 1% of the cards are defective. In a random sample of 600 memory cards, it is found that 2% are defective, but the supplier claims that this is only a sample fluctuation. At the 0.01 level of significance, test the supplier's claim that less than 1% are defective.
The supplier claims that defective cards are less than 1%. This is the claim to be testest so this is null hypothesis. Because we would reject or not reject this claim.
Since we are testing for the proportions and n > 30, we will use the z-test.
'p' being the population proportion of being defective
Null: p <= 1%
Alternative: p > 1%
= 2% n = 600 = 1%
Test Stat :
p-value =P( Z > |Test Stat|)
=1 - P(Z < |Test Stat|) .........................using normal probability tables
Sample p | 2% | |||
n | 600 | |||
Null p | 1% | |||
Test Stat | 1.7496 | |||
p-value | 0.0401 | P(z<1.75)= | 0.9599 | |
Since p-vaue > 0.01 | level of significance=0.01 | |||
Decision | Do not reject the null hypo | |||
Conclusion | There is insufficient evidence to reject supplier's claim. |
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