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NEW QUESTION: 1
Which three of the following will return an instance of a resource model? (Choose three)
A. Mage::getModel ('customer/customer') ->getResource ( );
B. Mage::getResourceSingleton ('customer/customer');
C. Mage::getResourceModel ('customer/customer') ->getResource( );
D. Mage::getModel ('customer/customer') ->getResourceModel ( );
E. Mage::getResourceModel ('customer/customer')->getInstance ( );
F. Mage::getResourceModel ('customer/customer');
Answer: A,B,F
NEW QUESTION: 2
Which of the following would be a legitimate action for the internal auditor to take when monitoring audit engagement results?
1.Disregard a certain risk because management and the board accepted the risk in the past.
2.Abdicate the responsibility for a particular risk because it is not part of the audit plan.
3.Obtain agreement from senior management that unresolved audit issues will be reported to the board. Request corrective action from management in writing.
A. 1 and 3 only
B. 1, 2, and 4 only
C. 3 and 4 only
D. 2 and 3 only
Answer: C
NEW QUESTION: 3
A. Option C
B. Option A
C. Option B
D. Option D
Answer: B
NEW QUESTION: 4
Which of the following statements regarding confidence levels and/or tests of significance is/are false?
Choose the best answer.
A. More than one of these answers is false.
B. In most hypothesis tests, the significance level is set equal to 0.10, 0.05, or 0.01.
C. The confidence level of a hypothesis test can be found by subtracting the level of significance from the number one.
D. The significance level of a test is equal to the power of a test.
E. All else equal, the probability of a Type I error decreases as the level of confidence increases.
F. The probability of a Type I error is denoted by the Greek letter alpha.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Remember that the power of the test is equal to (1 - Type II error probability). This is because in most hypothesis tests, the level of significance, denoted by alpha, is set equal to the probability of a Type I error.
Statisticians are primarily concerned with the probability of a Type I error, and rarely specify the probability of a Type II error. Determining the probability of a Type II error, which is defined as the act of incorrectly failing to reject the null hypothesis, is inherently difficult to determine. The probability of a Type I error, however, can be determined with relative ease. A Type I error is defined as the act of incorrectly rejecting the null hypothesis. The remaining answers are all correct.