An engineer is comparing voltages for two types of batteries (K and Q) using a sample of 97 type K batteries and a sample of 70 type Q batteries. The type K batteries have a mean voltage of 9.09, and the population standard deviation is known to be 0.385. The type Q batteries have a mean voltage of 9.34, and the population standard deviation is known to be 0.523. Conduct a hypothesis test for the conjecture that the mean voltage for these two types of batteries is different. Let μ1 be the true mean voltage for type K batteries and μ2 be the true mean voltage for type Q batteries. Use a 0.05 level of significance.
Step 1 of 5:
State the null and alternative hypotheses for the test.
Step 2 of 5:
Compute the value of the test statistic. Round your answer to two decimal places.
Step 3 of 5:
Find the p-value associated with the test statistic. Round your answer to four decimal places.
Step 4 of 5:
Make the decision for the hypothesis test. (Reject or Fail Reject Null Hypothesis)
Step 5 of 5:
Make the decision for the hypothesis test. (There is sufficient evidence to support the hypothesis, or there is not)
To Test :-
H0 :-
H1 :-
Test Statistic :-
Z = -3.3909
Test Criteria :-
Reject null hypothesis if
Result :- Reject Null Hypothesis
Decision based on P value
P - value = P ( Z < 3.3909 ) = 0.0007
Reject null hypothesis if P value <
level of significance
P - value = 0.0007 < 0.05 ,hence we reject null hypothesis
Conclusion :- Reject null hypothesis
There is sufficient evidence to support the hypothesis that two types of batteries is different.
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