project 1 data collection

1. Select an automobile/truck model and year (at least three years old) that is of interest to you — for example, a 1993 Saab 900S convertible. Now find at least 30 of these cars that are for sale (either from dealers or private owners) and record the asking price . As best you can, try to keep the cars as similar as possible. For example, ignore the car color, but do not mix together 4-cylinder and 6-cylinder cars or manual and automatic transmissions. Use internet sites and be sure to document the sites you use. From your research find the average price of the vehicle you chose.

2. The average American is exposed to over 1200 to 1500 commercials per day. The portrayal of each character in the commercial may set sex-role stereotypes for the viewers, especially for adolescent and children viewers. Children and adolescents are some of the most vulnerable consumers of television. Children between the ages of two and five watch an average of 28 hours of television per week. Beliefs, attitudes and values can be shaped by television, and if commercials on television are depicting sex-role stereotyping, this can have an impact on children’s views. Pick 2 tv channels that you regularly watch and record 30 commercials from each channel. Watch at different times of the day: 8:00 – 11:00am 12:000 noon -3:00 pm 3:00 – 6:00 pm and 8:00 – 11:00 pm. This will allow you to get a range of different types of commercials as we know different time slots are directed to different populations. Using the chart below record what you observe. If you are male record the role of the male and if you are female record the role of the female. You may collect the data over more than one day. Use one chart for each channel.
Primary figure role
(Male or female)
Talley
Frequency
Relative frequency
parent

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spouse

homemaker

boyfriend/girlfriend

narrator

worker

professional

celebrity

other

total

3. Average cost of a house
Many people have to move to a new location at some point in their lives. The cost of owning a house is a big concern for many. You will be gathering data and using it to calculate what you think is the average price for a home based on 30 data points. You may choose to pick cities within a state or states within the United States including Washington, D.C.
Question: What does it cost to buy a home?

Research plan:
Step 1. Decide if you will do cities or states. Then randomly choose 30 from your desired group.
Document your method of choosing your 30. We have studied many sampling methods that will work.

Step 2. Record your data in the table. Draw a picture to represent your data.

Step 3. Based on your picture determine whether you should talk about the mean of your data or the median.

Step 4. Write your conclusion.

If you are choosing areas in a state you can go to https://www.unitedstateszipcodes.org and pick your state. It will then give you a list of zip codes for the state. When you click on a zip code a set of info will come up for that area. You will find the home cost there.
If you are choosing states the following website has the median price of homes in each state:
https://www.businessinsider.com/cost-to-buy-a-house-in-every-state-ranked-2018-8

Project 1 Data collection
There are five sections to your project:
Design plan: You should have documentation of what method you used to determine how you were going to collect your data. This includes your sampling method and any ways you chose to deal with the types of bias we discussed.
Data collection: You should have documentation of how you actually collected the data. If you used data from a source be sure it is documented.
Graphic displays: Depending on the type of data you are collecting you should be able to produce graphs or charts that show the big picture represented by your data. Histograms, frequency distributions, and bar graphs are all viable options. Be sure they are labeled appropriately and are clear to read and understand. You may have more than one, but you should not overwhelm with too many. A few good ones are better than a multitude of poor ones.
Data analysis: This will include the calculations you do with your data, are you using the mean, median or a proportion to represent your findings. You should have the math to back up your statement about what the data shows.
Reflection: Did your sampling method work as you had planned? Did you have a particular part that went well or did not work? Are there any ideas that you would like to explore that arose from your study? What would you do differently if you had to conduct the study again? Did you encounter any bias while collecting your data and how did you deal with it?
Rubric for grading:

Area
Points Possible
Points earned
Sources documented
10

Question clearly stated
15

Population identified
10

Data gathering method described
20

Data correctly represented in graphic form
20

Analysis given matches data type
15

Conclusion stated
10

total
100

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