Suppose in your company you write a Python script that inserts, updates, and deletes data in tables in a MySQL database. You post your Python script on a shared drive for other staff members to use. What are some the issues you may encounter when several staff members start using your Python script? How would you deal with those issues?

The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.For this assignment, you will use the "Heights" dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.Part 1:Using Excel functions, calculate the following summary values for each of the three variables:MinimumFirst quartileSecond quartile (Median)Third quartileMaximumMeanRangeSample standard deviationSample varianceCoefficient of variationPart 2:Address each of the following questions in a written Word document.On average, are husbands or wives taller? What is the average difference in millimeters between the two genders? Explain your answer.How would you interpret the median heights?Compare the means and the medians for each dataset. What initial conclusions can be made here regarding the "contour" of each dataset?Compare the standard deviation values. Which dataset (husbands or wives) has the most dispersion? What does your conclusion suggest?Given the answers in question 1, compare the variability of heights between husbands and wives. Which partner type is more likely to have extremely tall individuals (outliers)?Interpret the % coefficient of variation.Part 3:Your manager has requested some additional information from you regarding the data. Specifically, you have been asked to calculate the differences between "Male Heights" and "Female Heights." Your manager is only interested in married couples in which the husbands are taller than their wives. Repeat the analyses requested in Part 1 for this new dataset. What conclusions can be drawn here? Include discussion about whether outliers exist in this dataset.APA format is not required, but solid academic writing is expected.This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. Question 2 Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer. Question 3 Income data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.

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