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Probability & Measures of Central Tendency

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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
Part II

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.

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This solution consists of details how to measure the central tendency of a given data.

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Hi,

As I mentioned before, I can only give you some guidance. You can find out ...

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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