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A quality control engineer developed a control chart to maintain the weights of family size ketchup bottle (desired populatio

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Answer #1

A] We use run test to conclude that data points are random or not .

We use library randtest in R to compute run test So make sure you install it by downloding from cran or use command install.packages("randtest") to install it.

R scipt for run test:

x=c(68.2,71.6,69.3,71.6,70.4,65,63.6,64.7,65.3,64.2,67.6,68.6,66.8,67.9,66.7,70.1)
library(randtests)
runs.test(x,alternative = "two.sided")

Out put: statistic = -1.0351, runs = 7, n1 = 8, n2 = 8, n = 16, p-value = 0.3006 alternative hypothesis: nonrandomness

Conclusion: Here p value of run test statistics is 0.3006 which is > alpha=0.05. So we accept null hypothesis that is sample are randoms. ( i.e there is no evidance that sample are not random )

B] Wilcoxon signed -rank test to test wheather median score of sample population is less than 68oz.

R script for wilcoxon singed- rank test:

x=c(68.2,71.6,69.3,71.6,70.4,65,63.6,64.7,65.3,64.2,67.6,68.6,66.8,67.9,66.7,70.1)
library(stats)
wilcox.test(x=1:100, mu = 68,alternative = "greater")
Out put: V = 56.5, p-value = 0.7326 alternative hypothesis: true location is greater than 68

Conclusion: Here p value of wilcoxon singed rank test is 0.7326 so we accept null hypothesis that sample population median is less than 68.

C] Following assumption are necessary for wilcoxon singed test used in B]

this test does not required normality assumption only assumption required is randomness in sample.  

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