Distinguish between descriptive and inferential statistical analyses.PLEASE NOTE: the data set will be used for multiple assignment within this course. Please return here to refer to this file when required.
Required Resources
Recommended Resources
Assignment Materials
Employee Data
PLEASE NOTE: the data set will be used for multiple assignment within this course. Please return here to refer to this file when required.
Weekly Assignment Sheet
PLEASE NOTE: the tabs at the bottom of the sheet indicate the different weeks, click on the associated tab for the week you are working on.
Multimedia
AnalystSoft Inc. StatPlus:mac LE. Retrieved from http://www.analystsoft.com/en/products/statplusmacle
Forbes Insights. (2015, April 9). The role of data & analytics today [Video file]. Retrieved from https://www.youtube.com/watch?v=fxroi4beKhE
Web Pages
Microsoft. (2007). Copy an Excel chart to another Office program . Retrieved from http://office.microsoft.com/en-us/word-help/copy-excel-data-or-charts-to-word-HP010198874.aspx
Microsoft. (2010). Use the Analysis ToolPak to perform complex data analysis. Retrieved from http://office.microsoft.com/en-us/excel-help/use-the-analysis-toolpak-to-perform-complex-data-analysis-HP010342762.aspx?CTT=1
Learning Outcomes
This week students will:
Distinguish between descriptive and inferential statistical analyses.
Identify nominal, ordinal, interval, and ratio data scales.
Calculate basic descriptive statistics.
Utilize Excel to perform statistical tests.
Introduction
For Week One, the focus will be on the introduction of measures and numbers in day-to-day decision-making. Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions. Probability (the measure of the likelihood of an event that is more than just chance) is studied as a very important tool to be used within statistics to make decisions.
To prepare for the course, you are encouraged to install the free Analysis Toolpak add-in for Excel, or for Mac users, you are encouraged to install the free StatPlus:mac LE software. Refer to the Required Assignment Materials (under Course Materials) for links to sources that provide installation instructions and information about how to use the Analysis Toolpak. Note that calculations will be conducted using Excel, and weekly problem set assignments throughout the course should be submitted in Excel format. Post Your Introduction
Week 1 – Discussion 1
Data Characteristics / Descriptive Statistics / Probability
Note that all of your discussions for this course are due on Day 5. Although the initial post is due on Day 5, you are encouraged to start working on it early, as it is a four-part discussion that should be completed in sequential order.
Part One – Analysis Tookpak
Add the “Analysis Toolpak” to Excel. Be sure you are you able to copy, sort, and find averages and sums in Excel. Use the Load the Analysis ToolPak article for information on how to load this in Excel. (This should be completed on Day 1.)
Part Two – Data Characteristics
Read Lecture One on descriptive data and review the Employee Data . Be sure to familiarize yourself with the different variables shown on the Data tab. In this course, we will be using the Employee Data and statistical tools to answer a single research question: In our BUS308 company, are the males and females paid equally for equal work?
Lecture One discusses different ways data values can be classified. In our data set for the equal pay for equal work assignment, students in the past have correctly identify the variable gender (coded M and F for male and female respectively) as nominal level data, but they often see gender1 (coded 0 and 1 for male and female respectively) as interval or ratio level data. Why? What could cause this wrong classification? What data do you use in your personal or professional lives that might suffer from not being correctly labeled/understood? (This should be started on Day 1.)
Part Three –Descriptive Statistics
Read Lecture Two on describing data sets and view The Role of Data & Analytics Today video. Lecture Two discusses several different ways of summarizing a data set–central location, variability, etc. Often, business reports provide a mean or average value for some measure (such as average number of defects per production run). Why is the average alone not enough information to make informed judgements about the result? What other descriptive statistic should be included? Why? Can you illustrate this with an example from your personal or professional lives? (This should be started on Day 3.)
PLACE THIS ORDER OR A SIMILAR ORDER WITH NURSING HOMEWORK HELP TODAY AND GET AN AMAZING DISCOUNT
