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 800 pounds per square inch. The calculated z test statistic is a positive value that leads to a p-value of .045 for the test. If the significance level (α) for this test is .05, the null hypothesis would be rejected.
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Q7: As the level of significance, α, increases,
Q8: The manager of the quality department for
Q9: A Type II error is failing to
Q10: You cannot make a Type II error
Q11: A Type I error is rejecting a
Q13: Using the p-value rule for a population
Q14: Alpha (α) is the probability that the
Q15: The null hypothesis is a statement that
Q16: The level of significance, α, indicates the
Q17: Everything else being constant, increasing the sample
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