In: Statistics and Probability
In December 2004, 44% of students in high school were satisfied with the lunches supplied through the school. In May 2010, an organization conducted a poll of 766 students in high school and asked if they were satisfied with the lunches supplied through the school. Of the 766 surveyed, 299 indicated they were satisfied. Does this suggest the proportion of students satisfied with the quality of lunches has decreased? (a) What does it mean to make a Type II error for this test? (b) If the researcher decides to test this hypothesis at the alpha=0.10 level of significance, compute the probability of making a Type II error, beta, if the true population proportion is 0.39. What is the power of the test? (c) Redo part (b) if the true population proportion is 0.43.
Hypotheses are:
(a)
Type II error is the probability of fail to reject the false null hypothesis.
That is researcher incorrectly conclude that the proportion of students satisfied with the quality of lunches has not decreased while actually the proportion of students satisfied with the quality of lunches has decreased.
(b)
(c)
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