The manager of the quality department for a tire manufacturing company wants to know the average tensile strength of rubber used in making a certain brand of radial tire. The population is normally distributed and the population standard deviation is known. She uses a z test to test the null hypothesis that the mean tensile strength is less than or equal to 800 pounds per square inch. The calculated z test statistic is a positive value that leads to a p-value of .067 for the test. If the significance level for this test is .10, the null hypothesis would be rejected.
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Q3: When the null hypothesis is not rejected,
Q4: We are testing H0: μ ≤ 8;
Q5: We are testing H0: μ ≥ 22;
Q6: When applying either the critical value rule
Q7: As the level of significance, α, increases,
Q9: A Type II error is failing to
Q10: You cannot make a Type II error
Q11: A Type I error is rejecting a
Q12: The manager of the quality department for
Q13: Using the p-value rule for a population
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