The construction of the t-statistic for a one- and two-sided hypothesis: A. depends on the critical...
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The construction of the t-statistic for a one- and two-sided hypothesis: A. depends on the critical value from the appropriate distribution: is different since the critical value must be .645 for the one-sided hypothesis but .96 for the two-sided hypothesis (using 5% probability for the Type error): C.is the same_ uses *1.96 for the two-sided test; but only +1.96 for the one-sided test: The construction of the t-statistic for a one- and a two-sided hypothesis: A. depends on the critical value from the appropriate distribution. B. is different since the critical value must be 1.645 for the one-sided hypothesis, but 1.96 for the two-sided hypothesis (using a 5% probability for the Type I error). C. is the same. D. uses £1.96 for the two-sided test, but only +1.96 for the one-sided test. The construction of the t-statistic for a one- and two-sided hypothesis: A. depends on the critical value from the appropriate distribution: is different since the critical value must be .645 for the one-sided hypothesis but .96 for the two-sided hypothesis (using 5% probability for the Type error): C.is the same_ uses *1.96 for the two-sided test; but only +1.96 for the one-sided test: The construction of the t-statistic for a one- and a two-sided hypothesis: A. depends on the critical value from the appropriate distribution. B. is different since the critical value must be 1.645 for the one-sided hypothesis, but 1.96 for the two-sided hypothesis (using a 5% probability for the Type I error). C. is the same. D. uses £1.96 for the two-sided test, but only +1.96 for the one-sided test.
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Financial Reporting Financial Statement Analysis and Valuation a strategic perspective
ISBN: 978-1337614689
9th edition
Authors: James M. Wahlen, Stephen P. Baginski, Mark Bradshaw
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