1. For this lab, click on the link for the pdf file below to download the lab. 2. Complete the lab either by typing the work and answers or print the labs and write on the paper copies. If you aren't able to print, then write the answers on blank paper. Show your work in the space provided! Please BOX and/or HIGHLIGHT your final answer. For assistance in the math when completing the lab on your computer, click on the following links to go to the indicated pages: How to Use the Math Equation Editor and How to Insert or Paste a Desmos Graph.3. Once you have completed the problems, then submit your typed lab as a file to Canvas or scan your written copy and submit the pdf file to Canvas. Please do not upload a picture! Upload your scanned document on Canvas by clicking on “Submit Assignment.” If you do not have access to a scanner, consider downloading the free version of a scanner app on your mobile device. These aps allow you to take a picture of a document and save it as a pdf file. Take pictures of all of the lab pages and save them as a single pdf document which you can then email to yourself and upload to Canvas. For further information, click the link to go to the page: How to Scan and Upload Submissions (in the Additional Resources for Students Module).

Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.

Project: Healthcare Deliverable: Expected Variation How do I determine if it's approximately normal? Mean: ROUND ALL FINAL RESULTS TO 3 DECIMAL PLACES. Standard deviation::: Is the data approximately bell shaped? Yes or No What is the lowest point of expected variation? What is the upper point of expected variation? 1.  Calculate the average for each. 2.  Calculate the standard deviation for each. 3.  From these calculations, determine the range of expected variation. 4.  Create a histogram from this data.  Use the   appropriate number of cells to represent the data.   Hint:  There is a 'rules of thumb' cell choice table   in the HISTOGRAM (part I) section of your workbook. 5.  By looking at the histogram, is the process approximately normally   distributed? Is there obvious assignable-cause variation? here is the data: These are the wait times from last months:24,  27,  18,  11,  22,  27,  17,  23,  17,  5,  17,  28,  24,  17,  8,  21,  26,  23,  17,  31,  18,  27,  22,  27,  17,  40,  22,  18,  17,  18,  28,