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Problem sets Chap 9 Instructor: Bifgrson Juste Test statistics 1 Scores derived from a patient satisfaction survey are Normally distributed with p =50 and o
Problem sets Chap 9 Instructor: Bifgrson Juste Test statistics 1 Scores derived from a patient satisfaction survey are Normally distributed with p =50 and o = 7.5, with high scores indicating high satisfaction. An SRS of n = 39 is taken from this population. a) What is the SE of x-bar for these data? b) We seek evidence against the hypothesis that a particular group of patients comes from a population in which p = 50. Sketch the curve that describes the sampling distribution of x-bar under the null hypothesis. Mark the horizontal axis with values that 1, 2, 3 standard errors above and below the mean c) Suppose a sample of n = 36 finds an x-bar of 48.8. Mark this finding on the horizontal axis of your sketch. Then calculate the Zggz; for the result. Does this observation provide strong evidence against Ho? 2 From exercise 9.3 Considered an SRS of n = 36 in which x-bar was 48.8. A different sample derives x-bar = 46.5. Mark this result on the horizontal axis of your sketch of the sampling distribution of x-bar. Calculate the Zyqxfor this finding. Does this observation provide strong evidence against Ho? Explain? 3 The average annual salary of 20 female hospital administrators is $80,900. These administrators believe they make less than their male counterparts because of sex bias. Published results suggest that hospital administrators have an average salary of u = $85,100 (o = $10,000). a) What conditions (assumptions) are needed to perform a z-test to address this question? b) Sketch the sampling distribution of x-bar based on an SRS of n = 20. Assume 1 =$85,100 and = $10,000. Mark the horizontal axis with landmarks that are 1, 2, 3 standard errors around . Locate x-bar = $80,900 on the horizontal axis of the curve. c) Calculate the Zyz; = and P-value for an observed x-bar of $80,900. d) Come up with four explanations for the lower-than-expected observed sample mean
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