Lean Six Sigma by Christine Deputy https://padlet.com/cmdeputy/LeanSix Made with a warm hug en-us 2018-06-11 18:13:01 UTC 2018-06-11 20:00:07 UTC hello@padlet.com https://padlet-assets.s3.amazonaws.com/icons/Dartstarget.png Root Cause Analysis cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266673285
  • What sequence of events leads to the problem?
  • What conditions allow the problem to occur?
  • What other problems surround the occurrence of the central problem?


    • ]]>     2018-06-11 18:15:46 UTC https://padlet.com/cmdeputy/LeanSix/wish/266673285     cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266673448 2018-06-11 18:16:42 UTC https://padlet.com/cmdeputy/LeanSix/wish/266673448 Quantitative Measurement cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266673944 Things to keep in mind when reporting the results of a study using quantitative methods:

    1. Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem you are investigating. Interpretation of results is not appropriate in this section.
    2. Report unanticipated events that occurred during your data collection. Explain how the actual analysis differs from the planned analysis. Explain your handling of missing data and why any missing data does not undermine the validity of your analysis.
    3. Explain the techniques you used to "clean" your data set.
    4. Choose a minimally sufficient statistical procedure; provide a rationale for its use and a reference for it. Specify any computer programs used.
    5. Describe the assumptions for each procedure and the steps you took to ensure that they were not violated.
    6. When using inferential statistics, provide the descriptive statistics, confidence intervals, and sample sizes for each variable as well as the value of the test statistic, its direction, the degrees of freedom, and the significance level [report the actual p value].
    7. Avoid inferring causality, particularly in nonrandomized designs or without further experimentation.
    8. Use tables to provide exact values; use figures to convey global effects. Keep figures small in size; include graphic representations of confidence intervals whenever possible.
    9. Always tell the reader what to look for in tables and figures.
    NOTE:  When using pre-existing statistical data gathered and made available by anyone other than yourself [e.g., government agency], you still must report on the methods that were used to gather the data and describe any missing data that exists and, if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.

    ]]>     2018-06-11 18:19:21 UTC https://padlet.com/cmdeputy/LeanSix/wish/266673944     cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266674557 2018-06-11 18:22:39 UTC https://padlet.com/cmdeputy/LeanSix/wish/266674557 cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266675552 2018-06-11 18:28:50 UTC https://padlet.com/cmdeputy/LeanSix/wish/266675552 cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266681155 2018-06-11 19:06:09 UTC https://padlet.com/cmdeputy/LeanSix/wish/266681155 cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266684071 2018-06-11 19:27:21 UTC https://padlet.com/cmdeputy/LeanSix/wish/266684071 cmdeputy https://padlet.com/cmdeputy/LeanSix/wish/266687859 2018-06-11 20:00:07 UTC https://padlet.com/cmdeputy/LeanSix/wish/266687859