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there are 2 discussions. first will be attached. it’s about data collection activity and the second is about Correlation and Regression Discussion.

Discussion 2 : What is meant by, “correlation does not imply causation”? Give an example of two variables for which there is correlation but not causation, expand and explain.

Directions for the Data Collection Activity
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Complete the activity by cutting and pasting the bolded components 1-8 below directly into your
discussion board post, do not attach a document.
Decide on a name for your study and write it in the subject line of your post.
I have described what I expect for each component (see below) and included an example (in green,)
do not use my example.
When you include your raw data, please do so horizontally separated by commas as I have done, to
avoid excessive scrolling.
You are required to comment on the projects of at least 2 classmates. Keep your comments about
the content of the activity. Comments such as, “I liked your activity…”, “You did a good job….” Will
not count!
Keep a copy of this activity for yourself because you will use the data for another activity.
Be creative in how you collect data. You don’t have to necessarily get it from people, maybe you will
go to grocery stores and collect nutritional data, or you might be able to collect it online…. have fun!
Required Activity Components
1. Description of the study: What is the purpose of your study, what are you trying to find out? Think it
through and be specific. For example: My study is to try to find out the average amount of money that MXC
students spend on text books including e-texts and class software by surveying 25 random MXC students.
2. Variable of interest: What is the measurement you are taking, in other words, what does each data piece
represent? In the example above the variable of interest is: the amount of money each student spent on texts
including e-texts and class software.
3. Population: What is the overall group you are studying? In the above example, it would be: the pertinent
information from all MXC students. Keep in mind that you will need to keep your population rather narrow,
it’s probably not realistic to do a study about people in the US because you would have to make sure to get
information from all regions of the country.
4. Sample: What subgroup of the sample did you get the information from? In the above example, it would bethe pertinent information received from 25 random MXC students.
5. Data collection method: Explain how you collected your data and specify the method and how your data
collection fir that method. For example, perhaps for the above example: I asked 5 instructors if they would
administer the survey question to 5 random students in their class. This is an example of stratified sampling,
each class is a strata and there was a random sample taken from each strata.
6. Measures I took to ensure a representative sample: In the above example, I might say: To ensure a
representative sample I made sure to include both daytime and evening classes and various classes across
the spectrum such as general education courses and health science courses.
7. Raw data: For the above example, it might look like this: Data is rounded to the nearest dollar:230, 543,
109, 476, 219, 72, 789, 111, 360, 967, 445, 301, 836, 281, 547, 682, 725, 370, 177, 265, 484, 638, 40, 279, 74

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