A fast-food chain has just developed a new process to make sure that orders are served correctly. Using the previous process, orders were served correctly 85% of the time. A sample of 90 orders using the new process is selected and 82 are served correctly. At the 0.05 level of significance, can you conclude that the new process has changed the proportion of orders served correctly?The null and alternative hypotheses are: A. H0:?= 0.85 and H1: ??0.85 B. H0: p = 0.85 and H1: p ?0.85 C. H0: ?? 0.85 and H1: ? > 0.85 D. H0: ?0.85 and H1: > 0.85 E. H0: ?? 0.91 and H1: ? < 0.91 F. H0: ??0.91 and H1: ?> 0.91G. H0: ? ?0.85 and H1: ?= 0.85H. H0: p ?0.85 and H1: p = 0.85Choose the correct answer (A-H):Test statistic isA. approximately 1.62B. approximately 2.33C. approximately -1.62D. approximately -2.33E. none of the aboveChoose the correct answer (A-E):critical value is:A. -2.33B. 2.33C. 1.645D. -1.96E. 1.96F. -1.645G.-1.645 and +1.645H. -1.96 and +1.96I. -2.58 and +2.58Choose the correct answer (A-I): Conclusion is:A. not enough evidence to reject H0 at the 5% level of SignificanceB. not enough evidence to reject H0 at the 10% level of SignificanceC. reject H0 at the 5% level of significanceD. reject H0 at the 1% level of significanceE. not enough informationChoose the correct answer (A-E):Is a sample size of 70 sufficient to guarantee that the sampling distribution of the proportion will be normally distributed?A. Yes, as n?and n(1-?) are at least equal to five.B. No, either n?or n(1-?) are less than fiveC. Yes, as the sample size is at least 30, the central limit theorem says that the sample is large enough for the sampling distribution of the proportion to be normally distributedD. The central limit theory says that real world data is close enough to being normally distributed to assume that the sampling distribution is also normally distributed.E. There is not enough information to answer this question.Choose the most appropriate answer (A-E):

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