Statistics Application Part C 2

Topics: Chart, Qualitative research, Quantitative research Pages: 7 (1333 words) Published: December 13, 2014
MTH 108 - Statistics Application

Part C: Making Graph and Data-Based Decisions (60 points)

Paragraphs should be typed and written in complete sentences. Please use project headings for each section. Use Times New Roman, 12-pt font and double space. Cite any resources in APA format.

This assignment requires you to collect your own data and to use that information to make decisions. This project happens in two parts. Part (due Seminar 4) requires you to identify a topic. Parts 2-5 (due Seminar 5) require you to collect and use the data.

You will need to collect both qualitative and quantitative data. You must design a survey to collect your data. Make sure you have at least one qualitative and a least one quantitative variable question included in your survey. Your instructor must approve your idea and survey before you start collecting data. You may be able to collect your data in another method (i.e. internet sites) only with instructor approval. Examples and ideas are included on page 3.

Part 1 (Due Seminar 4)

1. Data collection idea and survey approval:
Choose a topic from your field of study. Keep in mind you will need to collect at least 30 points of data for this project. Construct the sheet you will use to record your data. Your instructor must approve your idea and your data collection sheet before you can complete the rest of this assignment. (5 pts.)

Parts 2 – 5 (Due Seminar 5)

2. Introduction: (1-2 paragraphs)
Explain why you are interested in your selected topic. (5 pts.) Clearly state the goal of your study. Explain what you are trying to determine with the data you are going to collect. What qualitative data are you planning to collect? What quantitative data are you planning to collect? (5 pts.)

I have decided to do a survey on how many miles people work from where they live and what type of vehicle they drive. I am interested because I drive very far from work and I wonder if other people base their decisions on cars on how many miles they drive. I think that most people that drive shorter distances drive less gas efficient vehicles and people who drive further are more likely to drive a more economical vehicle. The quantitative data I am collecting will be the number of miles a person drives one way to work. The qualitative data would be the type of vehicle each person drives.

3. Data Collection: (1-2 paragraphs)
Identify the population for your study. (3 pts.)
I will be surveying family, friends and co-workers.

Discuss your method of sampling (i.e. random, systematic, stratified, convenience, etc.). Explain why this method was chosen. (3 pts.) The method I am using is convenience. I sent a text message to friends and family and those who responded were included. As for the coworkers, I asked the first one I saw until I had my data.

Does your method of sampling introduce any bias that may affect your results? (3 pts.) There is no bias here. I picked the first people I saw without any regard for what they drive.

Are you conducting an observational study or a survey? Explain. Include the survey you used to collect your data. (3 pts.) I am conducting a survey.

 
Miles to work
Car
Truck
SUV
Van / Minivan
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Discuss limitations resulting from the sampling method chosen or sample size available. Include any problems encountered while trying to collect the data. (3 pts.) One...
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