Generate TWO datasets with 500 data each from a random function with an arrangement from 1-10...

Transcribed Image Text:

Generate TWO datasets with 500 data each from a random function with an arrangement from 1-10 using RStudio. You need to assign these two 500 datasets as the population in Plant A and population in Plant B. Run the following R codes in RStudio to generate data randomly. Generate a sample of any 35 data from each dataset that you have just generated. Run the following R codes in RStudio to generate sample data randomly. PlantA <- sample(1:10, 500, replace=TRUE) PlantB<-sample(1:10, 500, replace=TRUE) SampleA<-sample(PlantA, SampleB<-sample(PlantB, Based on these two populations data and two-sample data, please answer the following questions by using RStudio: i. 35, replace=TRUE) 35, replace=TRUE) a. Calculate the mean and standard deviation for each 500-population data in Plant A and B. b. Calculate the mean and standard deviation for each 35-sample data in Plant A and B. ii. In 2020 an electronic manufacturing company sends its employees from two manufacturing plants to attend a course in building self-confidence. The Human Resource wanted to check if the employees are equally satisfied with the course attended. A sample of 35 employees was selected from the 500-population of the employee in Plant A. Another sample of 35 employees selected from the 500-population employee in Plant B. Assumes the employee satisfaction index for each manufacturing plant has a normal distribution. By using R Studio, Construct a 99% confidence interval for the difference between mean satisfaction indexes for all employers for the two manufacturing plants. Test at the 3.5% significance level if mean satisfaction indexes for all employers for the two manufacturing plants are different. Report the hypothesis testing process step by step and conclude the findings. Generate TWO datasets with 500 data each from a random function with an arrangement from 1-10 using RStudio. You need to assign these two 500 datasets as the population in Plant A and population in Plant B. Run the following R codes in RStudio to generate data randomly. Generate a sample of any 35 data from each dataset that you have just generated. Run the following R codes in RStudio to generate sample data randomly. PlantA <- sample(1:10, 500, replace=TRUE) PlantB<-sample(1:10, 500, replace=TRUE) SampleA<-sample(PlantA, SampleB<-sample(PlantB, Based on these two populations data and two-sample data, please answer the following questions by using RStudio: i. 35, replace=TRUE) 35, replace=TRUE) a. Calculate the mean and standard deviation for each 500-population data in Plant A and B. b. Calculate the mean and standard deviation for each 35-sample data in Plant A and B. ii. In 2020 an electronic manufacturing company sends its employees from two manufacturing plants to attend a course in building self-confidence. The Human Resource wanted to check if the employees are equally satisfied with the course attended. A sample of 35 employees was selected from the 500-population of the employee in Plant A. Another sample of 35 employees selected from the 500-population employee in Plant B. Assumes the employee satisfaction index for each manufacturing plant has a normal distribution. By using R Studio, Construct a 99% confidence interval for the difference between mean satisfaction indexes for all employers for the two manufacturing plants. Test at the 3.5% significance level if mean satisfaction indexes for all employers for the two manufacturing plants are different. Report the hypothesis testing process step by step and conclude the findings.