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Unformatted text preview: esis is a statement that will be accepted only if there is convincing sample
evidence that it is true.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Easy
Topic: Hypothesis testing 11. As the level of significance α increases, we are more likely to reject the null hypothesis.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Hypothesis testing 12. A test statistic is computed from sample data in hypothesis testing and is used in making a
decision about whether or not to reject the null hypothesis.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Hypothesis testing 13. When conducting a hypothesis test about a single mean, other relevant factors held
constant, increasing the level of significance from .05 to .10 will reduce the probability of a
Type I error.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Type I or Type II error 1756 Chapter 01  An Introduction to Business Statistics 14. When conducting a hypothesis test about a single mean, other relevant factors held
constant, increasing the level of significance from .05 to .10 will reduce the probability of a
Type II error.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Type I or Type II error 15. The level of significance indicates the probability of rejecting a false null hypothesis.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Hypothesis testing 16. When conducting a hypothesis test about a single mean, reducing the level of significance
(α) will increase the size of the rejection region.
FALSE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 17. When the null hypothesis is not rejected, there is no possibility of making a Type I error.
TRUE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Type I or Type II error 1757 Chapter 01  An Introduction to Business Statistics 18. When the null hypothesis is true, there is no possibility of making a Type I error.
FALSE AACSB: Reflective Thinking
Bloom's: Comprehension
Difficulty: Medium
Topic: Type I or Type II error 19. Testing H0: µ ≤ 8 versus HA: µ > 8, given α = .01, n = 25,
= 8.112, and s = .16, we
should reject the H0. (Assume the sample is selected from a normally distributed population.)
TRUE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 1758 Chapter 01  An Introduction to Business Statistics 20. Testing H0: µ ≥ 22 versus HA: µ < 22, given α = .01, n = 100,
we should not reject H0.
FALSE = 21.431, and s = 1.295, AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 21. Testing H0: µ = 32 versus HA: µ > 32 when
should reject H0.
TRUE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 1759 = 36, s = 1.6, and n = 30 at α = .05, we Chapter 01  An Introduction to Business Statistics 22. When we test H0: p = .2 versus HA: p ≠ .2 with
reject the null hypothesis.
FALSE = .26 and n = 100 at alpha = .05 we AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 23. After testing at
to reject H0.
FALSE = .05 H0: p = .33 versus HA: p < .33 with AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 1760 = .20 and n = 100, we fail Chapter 01  An Introduction to Business Statistics 24. Testing H0: µ ≤ .95 versus HA: µ > .95 when
= .99, s = .12, and n = 24 at alpha = .05,
we reject H0. (Assume a normally distributed population.)
TRUE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 25. Testing H0: p ≥ .7 versus HA: p < .7 with
reject the null hypothesis.
TRUE = .63 and n = 100 at AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 1761 = .01, we fail to Chapter 01  An Introduction to Business Statistics 26. When we test H0: µ ≤ 3.0 versus HA: µ > 3.0 when
= 3.44, s = .57, and n = 13 at a
significance level of .05, we fail to reject H0. (Assume population normality)
FALSE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 27. Testing H0: µ ≥ 2.5 versus HA: µ < 2.5 when
= 2.46, s = .05, and n = 26 at α = .10 we
reject the null hypothesis. (Assume that the population from which the sample is selected is
normally distributed.)
TRUE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 1762 Chapter 01  An Introduction to Business Statistics 28. It can be established at
= .05 that a majority of students favor the plus/minus grading
system at a university if in a random sample of 500 students, 270 favor the system.
TRUE AACSB: Analytic
Bloom's: Application
Difficulty: Medium
Topic: Hypothesis testing 29. Testing H0: µ ≤ 42 versus HA: µ > 42 when
= 45, s = 1.2, and n = 15 at α = .01, we
fail to reject the null hypothesis. (Assume that the population fr...
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This document was uploaded on 01/20/2014.
 Winter '14

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