1/6/2018

Ken Porter Auction

Bi-Monthly Consignment Auction
Vehicles, Heavy Duty Trucks, Construction Equipment, machinery, Surplus Items & Equipment
Inspection Thurs. & Friday January 4th & January 5th 9am to 5pm
Day of sale from 7am auction starts at 9am!
1/20/2018

Ken Porter Auction

Bi-Monthly Consignment Auction
Vehicles, Heavy Duty Trucks, Construction Equipment, machinery, Surplus Items & Equipment
Inspection Thurs. & Friday January 18th & January 19th 9am to 5pm
Day of sale from 7am auction starts at 9am!

He who sows the good seed is the Son of Man. The field is the world, the good seeds are the sons of the kingdom, but the tares are the sons of the wicked one. The enemy who sowed them is the devil, the harvest is the end of the age, and the reapers are the angels. Therefore as the tares are gathered and burned in the fire, so it will be at the end of this age. The Son of Man will send out His angels, and they will gather out of His kingdom all things that offend, and those who practice lawlessness, and will cast them into the furnace of fire. There will be wailing and gnashing of teeth. Then the righteous will shine forth as the sun in the kingdom of their Father. He who has ears to hear, let him hear (Matthew 13:36–43).

Blogging is another great way to get the benefits of journaling , regardless of whether you get started to make a name for yourself, or to just get your thoughts and feelings out in the open. Keeping a blog opens the door to the widest possible audience, but it comes with the sacrifice of privacy. If that's your preferred route, you have a wide array of tools and hosts to choose from, both free and paid. We've walked you through some of the most popular blogging platforms , and even introduces some of the new contenders you may have heard of . All of them offer different looks, cater to different audiences, and are designed for different kinds of people. Whatever you choose, keeping a personal blog may not come with writing prompts or fancy mobile apps (although some do), but they can come with community, and option to share your story with the world.

If 50% of all the people in a population of 20000 people drink coffee in the morning,
and if you were repeat the survey of 377 people ("Did you drink coffee this morning?")
many times, then 95% of the time, your survey would find that between 45% and 55% of
the people in your sample answered "Yes".
The remaining 5% of the time, or for 1 in 20 survey questions, you would expect the
survey response to more than the margin of error away from the true answer.
When you
survey a sample of the population, you don't know that you've found the correct
answer, but you do know that there's a 95% chance that you're within the margin of
error of the correct answer.
Try changing your sample size and watch what happens to the * alternate scenarios* .
That tells you what happens if you don't use the recommended sample size, and how and confidence level (that 95%) are related.
To learn more if you're a beginner, read Basic
Statistics: A Modern Approach and
The Cartoon Guide to Statistics . Otherwise, look at the
more advanced books .

In terms of the numbers you selected above, the sample size * n* and margin of error
* E* are given by
* x* = * Z* ( * c* / 100 ) 2 * r* (100-* r* )
* n* =
* N x* / ((* N* -1)* E* 2 + * x* )
* E* = Sqrt[ (* N* - * n* )* x* / * n* (* N* -1) ]
where * N* is the population size, * r* is the fraction of
responses that you are interested in, and * Z* (* c* /100) is
the critical
value for the confidence level * c* .

If you'd like to see how we perform the calculation, view the page
source. This calculation is based on the Normal
distribution , and assumes you have more than about 30 samples.

About Response distribution : If you ask a random sample of
10 people if they like donuts, and 9 of them say, "Yes", then the
prediction that you make about the general population is different than it
would be if 5 had said, "Yes", and 5 had said, "No". Setting the response
distribution to 50% is the most conservative assumption. So just leave it
at 50% unless you know what you're doing.
The sample size calculator computes the critical value for the normal
distribution. Wikipedia has good articles on statistics.
How do you like this web
page?
Good as-is
Could be even better

© 2004 by Raosoft, Inc. . Please download
and reuse this web page!

Questions? Please let
us know.

If 50% of all the people in a population of 20000 people drink coffee in the morning,
and if you were repeat the survey of 377 people ("Did you drink coffee this morning?")
many times, then 95% of the time, your survey would find that between 45% and 55% of
the people in your sample answered "Yes".
The remaining 5% of the time, or for 1 in 20 survey questions, you would expect the
survey response to more than the margin of error away from the true answer.
When you
survey a sample of the population, you don't know that you've found the correct
answer, but you do know that there's a 95% chance that you're within the margin of
error of the correct answer.
Try changing your sample size and watch what happens to the * alternate scenarios* .
That tells you what happens if you don't use the recommended sample size, and how and confidence level (that 95%) are related.
To learn more if you're a beginner, read Basic
Statistics: A Modern Approach and
The Cartoon Guide to Statistics . Otherwise, look at the
more advanced books .

In terms of the numbers you selected above, the sample size * n* and margin of error
* E* are given by
* x* = * Z* ( * c* / 100 ) 2 * r* (100-* r* )
* n* =
* N x* / ((* N* -1)* E* 2 + * x* )
* E* = Sqrt[ (* N* - * n* )* x* / * n* (* N* -1) ]
where * N* is the population size, * r* is the fraction of
responses that you are interested in, and * Z* (* c* /100) is
the critical
value for the confidence level * c* .

If you'd like to see how we perform the calculation, view the page
source. This calculation is based on the Normal
distribution , and assumes you have more than about 30 samples.

About Response distribution : If you ask a random sample of
10 people if they like donuts, and 9 of them say, "Yes", then the
prediction that you make about the general population is different than it
would be if 5 had said, "Yes", and 5 had said, "No". Setting the response
distribution to 50% is the most conservative assumption. So just leave it
at 50% unless you know what you're doing.
The sample size calculator computes the critical value for the normal
distribution. Wikipedia has good articles on statistics.
How do you like this web
page?
Good as-is
Could be even better

© 2004 by Raosoft, Inc. . Please download
and reuse this web page!

Questions? Please let
us know.