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![Seek First to Understand
• In statistics, a Type I error is the incorrect rejection of a true null hypothesis. A Type II error
is the failure to reject a false null hypothesis.[1] A type I error is a false positive. Usually a type I
error leads one to conclude that a thing or relationship exists when really it doesn't: for
example, that a patient has a disease being tested for when really the patient does not have
the disease, or that a medical treatment cures a disease when really it doesn't. A type II error
is a false negative. Examples of type II errors would be a blood test failing to detect the
disease it was designed to detect, in a patient who really has the disease; or a clinical trial of
a medical treatment failing to show that the treatment works when really it does.[2] When
comparing two means, concluding the means were different when in reality they were not
different would be a Type I error; concluding the means were not different when in reality
they were different would be a Type II error.
• Type I and Type II errors are also called errors of the first kind and errors of the second kind.
• All statistical hypothesis tests have a probability of making type I and type II errors. For
example, all blood tests for a disease will falsely detect the disease in some proportion of
people who don't have it, and will fail to detect the disease in some proportion of people
who do have it. A test's probability of making a type I error is denoted by α. A test's
probability of making a type II error is denoted by β.
(from Wikipedia.)](https://image.slidesharecdn.com/synergizeforstudentsuccess-130215123107-phpapp01/85/Synergize-for-student-success-11-320.jpg)
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Synergize for student success
Jill Chapman presented on using Stephen Covey's "7 Habits of Highly Effective People" as a framework to synergize teams for student success. The 7 habits are: 1) be proactive, 2) begin with the end in mind, 3) put first things first, 4) think win-win, 5) seek first to understand, then to be understood, 6) synergize, and 7) sharpen the saw. Chapman discussed each habit and how teams can focus on common goals, understand different perspectives, and work together proactively to achieve success.
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Synergize for student success
- 1. Synergize for StudentSuccess Jill T. Chapman SC CEC Conference February 2013
- 2. End In Mind •Learn new skills • Confirm what we know • Remember old skills
- 3. End In Mind •Use Covey’s 7 Habits of Highly Effective People as a framework for thinking about teams • Who is your team?
- 4. Covey’s 7 Habits •1: Be Proactive • 2: Begin With the End in Mind • 3: Put First Things First • 4: Think Win-Win • 5: Seek First To Understand, Then To Be Understood • 6: Synergize • 7: Sharpen the Saw
- 5. Be Proactive • Whatcan we control? • What is out of our control?
- 6.
- 7. Begin With theEnd in Mind • Quick thought…Education, Team, Achievement
- 8. Put First ThingsFirst • How will we reach our goal? • What activities help get us there? • What activities distract us?
- 9. Think Win-Win • Common ground • Third alternatives • 1+1=2 • ½+½=1 • Respect those who are absent
- 10. Think Win-Win • Scarcity •Abundance • Where do effective teams focus?
- 11. Seek First toUnderstand • In statistics, a Type I error is the incorrect rejection of a true null hypothesis. A Type II error is the failure to reject a false null hypothesis.[1] A type I error is a false positive. Usually a type I error leads one to conclude that a thing or relationship exists when really it doesn't: for example, that a patient has a disease being tested for when really the patient does not have the disease, or that a medical treatment cures a disease when really it doesn't. A type II error is a false negative. Examples of type II errors would be a blood test failing to detect the disease it was designed to detect, in a patient who really has the disease; or a clinical trial of a medical treatment failing to show that the treatment works when really it does.[2] When comparing two means, concluding the means were different when in reality they were not different would be a Type I error; concluding the means were not different when in reality they were different would be a Type II error. • Type I and Type II errors are also called errors of the first kind and errors of the second kind. • All statistical hypothesis tests have a probability of making type I and type II errors. For example, all blood tests for a disease will falsely detect the disease in some proportion of people who don't have it, and will fail to detect the disease in some proportion of people who do have it. A test's probability of making a type I error is denoted by α. A test's probability of making a type II error is denoted by β. (from Wikipedia.)
- 12. Seek First ToUnderstand • The greatest desire of the human heart is to be understood. • A need that is satisfied no longer drives us. (quotes from Covey)
- 13. Synergize • Work togethertoward the common goal. • What fosters synergy? • What hinders synergy? • What can you do to increase the synergy in your team?
- 14. Sharpen the Saw • Body • Mind • Spirit • Social
- 15. Put It AllTogether • How can you use this framework to support the goal’s of your team? • Questions?
- 16. Contact Me • JillT. Chapman jchapman@lexington1.net Saxe Gotha Elementary School 803-821-4800