# Would cause neither statement to be true b h 0 100 vs

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would cause neither statement to be true.b)H0:= 100 vs. Ha:< 100 or could write as H0:>= 100 vs. Ha:< 100The hypothesis needs to address the parameter not the statisticc)H0: p^= 0.50 vs. Ha: p^≠ 0.50The hypothesis statements should address population parameter (p) not sample statistic(p^)
3.Patient satisfaction.Scores derived from a patient satisfaction survey are Normally distributedwith μ = 50 and σ = 7.5, with high scores indicating high satisfaction. An SRS ofn= 36 is takenfrom this population.a)What is the standard error (SE) of x for these data?b)We seek to discover if a particular group of patients comes from this population in which
μ = 50.Sketch the curve that describes the sampling distribution of the sample meanunder the null hypothesis. Mark the horizontal axis with values that are ±1, ±2, and ±3standard errors above and below the mean.
3c.Suppose in a sample ofn= 36 from this particular group of patients the mean valueof x is 48.8.Mark this finding on the horizontal axis of your sketch. Then compute az statistic for this scenario and make sure it matches your sketch.47.548.7548.85051.2552.5
d.What is the two-sided alternative hypothesis for this scenario?
e.Find the corresponding p-value for your z-statistic using Table B.
f.Draw a conclusion for this study scenario based on your results.
Problems retrieved from Gerstman, B. B. (2015).Basic biostatistics: Statistics for public health practice(2nd ed.). Burlington, MA:Jones and Bartlett. ISBN: 978-1-284-03601-5
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Term
Fall
Professor
Ayesha Johnson