Project #26394 - Stats

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Project 3 instructions

 

 

 

Based on Larson & Farber: sections 5.2-5.3

 

 

 

Go to this website. Click the link on the right that says Download to Spreadsheet. Set the date range to 01/06/2013 to 01/05/2014. Your dates will going back exactly 1 year. Assume that the closing prices of the stock form a normally distributed data set. Do not manually count values in the data set, but use the ideas found in sections 5.2–5.3. Complete this assignment within a single Excel file. Show your work or explain how you obtained each of your answers.

 

 

 

  1. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The answer would be the same for any normal distribution.

  2. If a person bought one share of Google stock within the last year, what is the probability that the stock on that day closed at more than $800? Hint: Use Excel to find the mean and standard deviation. Then find the z score. Then find the probability using the Standard Normal Table.   

  3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $45 of the mean for that year? Hint: Find two z scores and use the Standard Normal Table.

  4. Suppose a person within the last year claimed to have bought Google stock at closing at $700 per share. Would such a price be considered unusual? Explain by using the Empirical Rule; do not find the max or min values of the daily closing prices.

  5. At what prices would Google have to close at in order for it to be considered statistically unusual? You should have a low and high value. Use the Empirical Rule.

  6. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values.

  7. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in our textbook?  One option would be to construct a histogram and see if it has the right shape.

 

Subject Mathematics
Due By (Pacific Time) 04/01/2014 12:00 am
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