Statistics How To

Help Forum Deletion

Hi, Everyone,

I’ve decided to delete the help forums. Now that the site has greatly expanded (from a hundred pages in 2009 to over 1000!) I found that most visitors were bypassing the forums in favor of asking a comment on the relevant post/page.

To search the site for what you’re looking for, just type in the Google search box (At the top of the page) your search term.

I try to answer every comment. Thanks for visiting.

Stephanie

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If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.

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Help Forum Deletion was last modified: October 12th, 2017 by Stephanie

2 thoughts on “Help Forum Deletion

  1. Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the

    Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the same data from week 1 to complete this assignment for week 3.

    Find the Standard deviation using the following formulas:

    The “Population Standard Deviation”:

    square root of [ (1/N) times Sigma i=1 to N of (xi – mu)^2 ]
    The “Sample Standard Deviation”:
    square root of [ (1/(N-1)) times Sigma i=1 to N of (xi – xbar)^2 ]

    Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces Mean Median Standard Deviation
    1 15.59 11 16.39 21 15.86 16.00 15.92 0.31
    2 15.54 12 16.48 22 16.42 16.15 15.96 0.30
    3 16.46 13 15.61 23 15.72 15.93 15.92 0.28
    4 15.99 14 16.02 24 15.77 15.92 15.96 0.26
    5 15.87 15 15.76 25 16.48 16.04 15.92 0.27
    6 16.35 16 15.84 26 15.89 16.02 15.96 0.26
    7 16.39 17 15.96 27 15.66 16.01 16.02 0.27
    8 15.84 18 15.71 28 16.32 15.96 16.07 0.26
    9 16.29 19 16.12 29 15.87 16.10 16.10 0.25
    10 16.13 20 16.07 30 15.57 15.92 16.07 0.31