Reference no: EM132653339
One-Way ANOVA In Unit 5, you developed your understanding of hypothesis testing of means by learning three types of t-tests. In this week's Discussion, you will expand your knowledge of testing means by comparing the means of more than two groups and using a one-way ANOVA test to analyze the results.
The Unit 6 Discussion will involve the following scenario: Suppose an I/O psychologist wants to study the effects of music on productivity in the workplace. She randomly assigns treatments to certain sections within the building - some sections will hear no music while working (No_music in Excel spreadsheet), some will hear music with no choice of what is being played (Music_set in the Excel spreadsheet), and some will hear music with input as to what music is played (Music_choice in the Excel spreadsheet). Does the playing of music have a significant effect on workers'' productivity? Using the Excel spreadsheets provided below and the following video, you will need to do the following: Unit 6 Discussion Video Unit 6 Discussion Worksheet Unit 6
Discussion Graphs Step 1: Open the Unit 6 Discussion Worksheet to Sheet 1. Type your first name in the GREEN CELL and press ENTER. The numbers should change once you press Enter. Take your mouse and highlight all columns of data and copy (CTRL-C), then open a new Excel workbook and paste by clicking Home > Paste Special and click the Values and number formats radio button (see video provided below).
Step 2: Highlight all three columns on Sheet 1 of your new Excel file, and using Excel, click Data > Data Analysis > ANOVA: Single Factor, run a one-way ANOVA on the three groups.
Step 3: Use the snipping tool to create an image of your ANOVA output and save the image on your computer.
Step 4: Save your Excel file.
Step 5: Enter answers to the following questions directly in the Response box (you can copy/paste the questions and then type your answers under each one), insert your ANOVA output in part e in the Response box, and ATTACH YOUR EXCEL FILE to your discussion response. What are the Ho and Ha for this study (Be specific to the context of the study)? What is your independent variable? What is your dependent variable?
How many levels of the independent variable are there? Why must you use a one-way ANOVA rather than an independent samples t-test to compare the mean productivity among the groups? Insert your ANOVA Excel output here. What is your F test statistic? What is your p-value? What is your decision regarding rejection? What is your conclusion in context? Using the video, paste your Excel data into a csv file (Use the Unit 6 Discussion Graphs file above), upload to StatKey, and do comparative plots showing the three groups (either dotplots, histograms, or boxplots). Insert your graphs as an image in the response box using the snipping tool. Based on the graphs, which group showed the highest productivity? Which showed the lowest? Do you think all of the groups are significantly different from each other? Why or why not? What specific group differences would you expect to see in the post-hoc results?
Attachment:- Discussion.rar