Homework Help is Here – Start Your Trial Now!
Math
Statistics
Topic 1: Results from surveys or opinion polls often report a range of values-the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle "truth" area we will accept versus the dubious tail area we will reject-also known as alpha (x). The more confidence we wish to have -the more middle ground we will need to accept (more wiggle room)-thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room-so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha. Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal-and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room-so a wider range)? This serves as your initial post to the discussion (if you choose topic 1) and is due by 11:59 p.m. EST on Saturday.

Topic 1: Results from surveys or opinion polls often report a range of values-the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle "truth" area we will accept versus the dubious tail area we will reject-also known as alpha (x). The more confidence we wish to have -the more middle ground we will need to accept (more wiggle room)-thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room-so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha. Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal-and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room-so a wider range)? This serves as your initial post to the discussion (if you choose topic 1) and is due by 11:59 p.m. EST on Saturday.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
Defense Travel Syst... ▸ DBIDS | Web Portal -OR- Preservation Request TRICARE Online Topic 1: Results from surveys or opinion polls often report a range of values-the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle "truth" area we will accept versus the dubious tail area we will reject-also known as alpha (x). The more confidence we wish to have -the more middle ground we will need to accept (more wiggle room)-thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room-so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha. d AFVEC Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal-and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room-so a wider range)? This serves as your initial post to the discussion (if you choose topic 1) and is due by 11:59 p.m. EST on Saturday. O Search results - Rat... Topic 2: Two or more samples are often compared when we suspect that there are differences between the groups-for example, are cancer rates higher in one town than another, or are test scores higher in one class than another? In your chosen field, when might you want to know the mean differences between two or more groups? Please describe the situation (what groups, what measurements) including how and why it would be used. This serves as your initial post to the discussion (if you choose topic and is due by 11:59 p.m. EST on Saturday. At least one substantive peer reply post is due by 11:59 p.m. EST on Tuesday. HYUNDAI
Transcribed Image Text:Defense Travel Syst... ▸ DBIDS | Web Portal -OR- Preservation Request TRICARE Online Topic 1: Results from surveys or opinion polls often report a range of values-the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle "truth" area we will accept versus the dubious tail area we will reject-also known as alpha (x). The more confidence we wish to have -the more middle ground we will need to accept (more wiggle room)-thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room-so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha. d AFVEC Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal-and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room-so a wider range)? This serves as your initial post to the discussion (if you choose topic 1) and is due by 11:59 p.m. EST on Saturday. O Search results - Rat... Topic 2: Two or more samples are often compared when we suspect that there are differences between the groups-for example, are cancer rates higher in one town than another, or are test scores higher in one class than another? In your chosen field, when might you want to know the mean differences between two or more groups? Please describe the situation (what groups, what measurements) including how and why it would be used. This serves as your initial post to the discussion (if you choose topic and is due by 11:59 p.m. EST on Saturday. At least one substantive peer reply post is due by 11:59 p.m. EST on Tuesday. HYUNDAI
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS