Devry MATH221 Week 2 LAB Latest 2020 April

MATH221 Statistics for Decision Making

Week 2 LAB   

Instructions-BEGIN

?             Data have already been formatted and entered into an Excelworksheet.

?             Obtain the data file for this lab from your instructor.

?             Use the Week 1 spreadsheet (available from the top of the Week 1 Lesson) for graphs and calculations.  You will need to copy data from the data file into the calculations spreadsheet to answer some questions.

?             The names of each variable from the survey are in the first row of the Worksheet. This row has a background color of gray to identify it as the variable names. All other rows of the Worksheet represent a certain students’ answers to the survey questions. Therefore, the rows are called observations and the columns are called variables. On page 6 of this lab, you will find a code sheetthat identifies the correspondence between the variable names and the survey questions.

?             Follow the directions below and then paste the graphs from Excel in the grey areas for question 1 through 3. You will be using the Week 1 Excel Sheet for many of the calculations.  Type your answers to questions 4 through 11 where noted in the grey areas.  When asked for explanations, please give thorough, multi-sentence or paragraph length explanations.

?             The completed Lab Word Document with your responses to the 11 questions will be the ONE and only document submitted to the Week 2:Lab. When saving and submitting the document, you are required to use the following format: Last Name_ First Name_Week2Lab.

Create a pie chart for the variable Car Color: Select the column with the Car variable, including the title of Car Color.  Click on Insert, and then Recommended Charts.  It should show a clustered column and click OK.  Once the chart is shown, right click on the chart (main area) and select Change Chart Type.  Select Pie and OK.  Click on the pie slices, right click Add Data Labels, and select Add Data Callouts.  Add an appropriate title.Copy and paste the chart here.

1. 2.    Create a scatter plot with the variables of Drive and Money.  Copy the Drive variable from the data file and paste it into the x column in the Scatter Plot worksheet of the Week 1 Excel file.  Copy the Money variable from the data file and paste it into the y column.  Copy and paste the scatter plot below.
2. 3.    Create a histogram for the variable Drive.You need to create a frequency distribution for the data by hand.  Use 5 classes, find the class width, and then create the classes.  Once you have the classes, count how many data points fall within each class. It may be helpful to sort the data based on the Drive variable first.  Once you have the classes and the frequency counts, put those data into the table in the Freq Distribution worksheet of the Week 1 Excel file.Copy and paste the graph here.
3. 4.    Calculate descriptive statistics for the variable Sleep by Gender.  Sort the data by gender by clicking on Data and then Sort.  Copy the Sleep of the males from the data file into the Descriptive Statistics worksheet of the Week 1 Excel file.  Type the mean and standard deviation below.These are sample data. Then, copy and paste the female data into the Descriptive Statistics workbook and do the same.  Keep three decimal places.
4. 5.    What is the most common color of car for students who participated in this survey? Explain how you arrived at your answer.
5. 6.    What is seen in the scatter plot for the Drive and Money variables? Explain your answer.
6. 7.    What is seen in the histogram created for the driving distance of students in this class (include the shape)? Explain your answer.
7. 8.    Compare the mean hours of sleep for males and the mean for females in these data. Compare the values and explain what can be concluded based on the numbers.
8. 9.    Compare the standard deviation for the sleep of males and the standard deviation for the sleep of females in the class. Compare the values and explain what can be concluded based on the numbers.
9. 10.  Using the empirical rule, 95% of female sleep amounts should be between what two values? Either show work or explain how your answer was calculated.
10. 11.  Using the empirical rule, 68% of male sleep amounts should be between what two values? Either show work or explain how your answer was calculated.