You are looking see class standing affects the level sales

Homework #1 – Due January 29^th, 2015

This worksheet is designed to provide you with opportunities to

1. You belong to a student group who is trying to raise money for a local charity that you feel passionately about. The top priority of this group is to raise as much money as possible selling peanuts at the university football games. You want to know whether class standing (i.e. freshman, sophomore, junior, or senior) will make a difference in the number of peanuts sold. You are looking to see if “class standing” affects the “level of sales”. So, for each student selling peanuts you measure how many peanuts they sold, then you found an average for each group of students. Your graph looks like this: Please identify the following variables:

   • Independent variable (IV):______________  Number of levels of IV: ________________

   • In this study, what is the operational definition of “level of sales”?_____________________

2. You work for a small company that has recently designed a new program to treat obesity. There is the potential to make large profits, but first you need to test to see if it works. You enroll 100 people who weigh more than 50 pounds more than their ideal weight. You randomly assign half of the people to participate in the program and half to diet however they choose. You are looking to see whether “type of program” (regular diet versus your program) has an effect on “body transformation” (number of pounds lost). When you are finished the data look like this: Please identify the following variables:

   • What is the operational definition of “type of program”? ___________________________

   • What is the operational definition of “body transformation”? ________________________

3. • What is the operational definition of “driving efficiency”? ___________________________

   • What is the operational definition of “driving choice”? ______________________________

5. 3. nominal, ordinal, interval, or ratio (level of measurement)

Salary: ______________ / __________________ / ______________

(Coke vs Pepsi) qualitative/quantitative discrete or continuous level of measurement

Cities: ______________ / __________________ / ______________

6. Maggie wanted to compare the median salary of male and female lawyers. Using census data she found that the median salary for male lawyers was $66,000 while the median yearly salary for female lawyers was $61,000. Please identify the following information:

   • Between or within participant design: ____________________

   • Level of measurement for “Gender”: _____________________  Level of measurement for “Salary”: ______________________  A simple bar graph for these data might look like this:

Step 4: To get the best formatting, click Step 6: Delete the “Series 1” textbox.

on “chart layouts” under the “Design” tab Double click and change the title name and and choose this one. Step 5: It will produce a graph change font to Arial, size 11 or 12. Note please choose carefully they look very similar. that looks like this Your graph should look like this

7. • Quasi or True experiment: __________________________

   • Dependent variable: __________________________

8. Propose your own “quasi” experiment, and identify each of the following:

Remember, in order for this study to be a “quasi” experiment it must NOT include random assignment of participants to the different levels of the independent variable. Common quasi-experiments might compare “subject variables” like gender or type of political affiliation or major in school.

• Dependent variable (DV): ________________________

• What is the operational definition of your DV? __________________________________

d15s_hw1_iv&dv_&excelgraphing.docx