Your specific assignment for this week is to select a type of quantitative data to collect from your own life.
How many minutes does it take yo to get to work everyday.
In a brief paper, describe the data you are going to collect. Start collecting data today so you have can have at least 10 observations, preferably more.
Note: you only have to choose one variable, and then collect 10 days worth of data on that one variable. For example, if your variable is how long it takes you to drive to work each day, simply record how long it takes you to get to work for 10 days. Save this date for use in remaining SLP assignments.
Submit your paper to CourseNet for grading containing the above information by the end of this module.
Session Long Project assignment expectations:
Use information from the modular background readings as well as any good quality resource you can find. Please cite all sources and provide a reference list at the end of your paper.
The following items will be assessed in particular:
Your ability to explain the basic logic of probability theory
Your ability to identify the meaning of independent and dependent events
Using the data you have collected in above, please do the following:
Calculate the mean, median, and mode.
Are these numbers higher or lower than you would have expected?
Which of these measures of central tendency do you think most accurately describes the lifestyle variable you are looking at?
Write a brief paper pages with your calculations and the answers to these questions.
July 2nd 21 Minutes
July 3rd 17 Minutes
July 5th 19 Minutes
July 6th 15 Minutes
July 7th 23 Minutes
July 8th 16 Minutes
July 9th 15 Minutes
July 10th 17 Minutes
July 11th 22 Minutes
July 12th 15 Minutes
Here is the information that you requested, I used the last 10 days that I travelled back and forth to work.© BrainMass Inc. brainmass.com August 21, 2018, 6:09 pm ad1c9bdddf
As I mentioned before, I can only give you some guidance. You can find out ...
This solution consists of details how to measure the central tendency of a given data.