link to data 1. For AC and PP in the 2017 stats, perform the following computati
ID: 3323137 • Letter: L
Question
link to data
1. For AC and PP in the 2017 stats, perform the following computations: a. Find the mean, median, mode, and standard deviation s of this sample. b. Create a histogram using your frequency table c. Draw a boxplot of the assembly costs. d. Use the results from part (a) to find what percentage of the 36 days, AC is within ±1 of the mean. (Hint: Assume this sample was NOT taken from a Bell curve.) If 35.4% or more is considered a good percentage of profit, what proportion of the 36 days, PP are 35.4% or more? Of those days with PP of 35.4% or more, what percentage of those days were accomplished with an assembly cost of $330 or less? e. f.Explanation / Answer
(a). If you can load the dataset in R as dataframe, one can find the mean, median, mode and standard deviation of the data by using the functions mean(), median(), mode() and sd() while passing the appropriate column name of the dataframe as an argument to these functions
(b). Similarly histogram can also be generated using the hist() function in R by passing the appropriate column name in the dataframe as an argument and then exporting the graph as a picture
(c) Similarly Boxplot can also be generated using the boxplot() function in R by passing the appropriate column name in the dataframe as an argument and then exporting the graph as a picture
(d) Once we have estimated the mean and sd in part a, we can create a confidence interval of mean+- sd. We can then use R or Excel again to check how many values fall within this range and then calculate the percentage by dividing this count by the total number of observations
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.