Court has ruled Emergencies Act during Trucker convoy was unconstitutional

[Valcazar]

From the article:

• If you want a smaller margin of error, you must have a larger sample size given the same population.
• The higher the sampling confidence level you want to have, the larger your sample size will need to be.

On a survey that essentially asks very few questions, especially when the answers would be yes or no, the margin of error used should be less than what was used here. Probably no more than 2% and I would argue closer to 1% would be more suitable.

Therefore the sample size would be larger.

If your survey gives you an answer where over 70% say the same thing, a margin of error of plus or minus 2.5% is more than enough.
Insisting on trying to get it down to 2 or 1% is ludicrous, since we aren't talking about changing the result in any meaningful way.

 

[Valcazar]

You are forgetting the margin of error, the number of questions being asked, and the yes/no nature of the answers being provided.

Why do you think the number of questions being asked affects the sample size needed?
Why do you think that yes/no answers affect the sample size needed?

The margin of error would and should be less than 2% and not 2.5% as used in that poll.

Why?
What reasoning do you have for demanding a smaller MOE here?

It's not like each question had multiple possible answers as for example in some political polls whereby all candidates are listed.

So?

I'll leave it to you to figure out what the sample size should be in that case using the margin of error.

No, no.
Since I clearly believe that a binary question with a 70% result on one side is perfectly handled by a survey with a margin of error of 2.5%, feel free to tell me why I'm wrong?

Further, no context was provided as to where the questions were asked and to who? That is information that is usually provided when making such a claim about the poll result.

For example, when you hear that 90% of teachers voted for a strike, that doesn't mean that all teachers voted. It means "90% of those who voted".

You could look at the polling company - they do publish these things.

Context is everything.

Sure.
So other than "I don't want to believe this result" what objection do you have to the context of this poll?

This poll should have used a margin of error that is somewhere between 1-2% The sample size would have had to be bigger for better representation.

Why do you think 1-2% is needed when the result is 72%?

 

[Frankfooter]

You are forgetting the margin of error, the number of questions being asked, and the yes/no nature of the answers being provided. The margin of error would and should be less than 2% and not 2.5% as used in that poll. It's not like each question had multiple possible answers as for example in some political polls whereby all candidates are listed.
I'll leave it to you to figure out what the sample size should be in that case using the margin of error.

Further, no context was provided as to where the questions were asked and to who? That is information that is usually provided when making such a claim about the poll result.

For example, when you hear that 90% of teachers voted for a strike, that doesn't mean that all teachers voted. It means "90% of those who voted".

Context is everything.

This poll should have used a margin of error that is somewhere between 1-2% The sample size would have had to be bigger for better representation.

You lost this debate and look like a fool, skoob.
This just makes you look like a sore loser.

The poll I posted used 5% margin of error and the proper sample size to achieve that goal.
You made fun of it through your ignorance of stats.
Now you think claiming all polls should change to a 2% margin of error makes you look smart or right but all it does is make you look petty.

Just admit you are wrong.

 

[Skoob]

You lost this debate and look like a fool, skoob.
This just makes you look like a sore loser.

The poll I posted used 5% margin of error and the proper sample size to achieve that goal.
You made fun of it through your ignorance of stats.
Now you think claiming all polls should change to a 2% margin of error makes you look smart or right but all it does is make you look petty.

Just admit you are wrong.

I think it's funny that someone else actually had to respond for you...you were stumped.

I never disputed what margin of error was used for that poll. In fact I knew it was used based on the sample size.

I disagreed with the margin of error used and if it was lower, the sample size would be larger.

You think I'm wrong about the sample size being larger with a 2% margin of error?

If not, what do you think I was wrong about? Are you just making shit up again?

(or you can wait for someone else to answer for you like last time)

 

[Mr.Gr33k]

None of the truckers did this:

x.com

x.com

 

[roddermac]

None of the truckers did this:

x.com

x.com

I wish they did.

 

[Frankfooter]

I think it's funny that someone else actually had to respond for you...you were stumped.

I never disputed what margin of error was used for that poll. In fact I knew it was used based on the sample size.

I disagreed with the margin of error used and if it was lower, the sample size would be larger.

You think I'm wrong about the sample size being larger with a 2% margin of error?

If not, what do you think I was wrong about? Are you just making shit up again?

(or you can wait for someone else to answer for you like last time)

Nice try, but you just attacked a poll I posted based on its sample size with no mention of margin of error.
You failed and still can't admit you were wrong.

Do want me to post your initial response?
You really should just admit you were wrong.

 

[Skoob]

Nice try, but you just attacked a poll I posted based on its sample size with no mention of margin of error.
You failed and still can't admit you were wrong.

Do want me to post your initial response?
You really should just admit you were wrong.

I knew the margin of error was wrong, why do you think I said that the sample size should have been larger?

Unlike you, I confirm my information before I post my opinion and I then stand by it.

 

[Not getting younger]

If your survey gives you an answer where over 70% say the same thing, a margin of error of plus or minus 2.5% is more than enough.
Insisting on trying to get it down to 2 or 1% is ludicrous, since we aren't talking about changing the result in any meaningful way.

But by the same token, and I’m jumping in here a wee bit, without reading the past 2 pages for context. and not taking “either side”.

That is the problem with small data sets isn’t it? Whether it’s one quarter, or one year or 5 years, whether the topic is violent crime, growth in GDP, or trends in political violence.

And it’s also to a lessor degree the problem with polls ( what are the questions being asked, and how are they worded)….and or, what is either side cherry picking for the baseline.

 

[Frankfooter]

I knew the margin of error was wrong, why do you think I said that the sample size should have been larger?

Unlike you, I confirm my information before I post my opinion and I then stand by it.

No, the margin of error was not wrong, you're still trying to cover your ass but it just makes you look worse with every squirm.

 

[Not getting younger]

Why do you think the number of questions being asked affects the sample size needed?
Why do you think that yes/no answers affect the sample size needed?

Why do multiple choice, open book exams have 100s of questions rather than 24 or 50 or 60?

personally think you both have points.

And there is absolutely no arguing that polls are often affected by the questions asked, and whether answers are yes/no.

 

[Skoob]

No, the margin of error was not wrong, you're still trying to cover your ass but it just makes you look worse with every squirm.

Lol! Cover my ass for what? Backing up my claim? Providing justification and proof?

Must be a foreign concept to someone who spews bs and pivots the minute they lose an argument like you're doing now.

 

[Skoob]

Why do you think the number of questions being asked affects the sample size needed?
Why do you think that yes/no answers affect the sample size needed?

Why?
What reasoning do you have for demanding a smaller MOE here?

So?

No, no.
Since I clearly believe that a binary question with a 70% result on one side is perfectly handled by a survey with a margin of error of 2.5%, feel free to tell me why I'm wrong?

You could look at the polling company - they do publish these things.

Sure.
So other than "I don't want to believe this result" what objection do you have to the context of this poll?

Why do you think 1-2% is needed when the result is 72%?

That's a lot of questions for someone who doesn't offer information and proof of their own. So I'm not going to go through each one like a student exam, sorry.

By definition:
The margin of error is a statistic expressing the amount of random sampling error in the results of a survey. The larger the margin of error, the less confidence one should have that a poll result would reflect the result of a census of the entire population.

So why wouldn't you lower the margin of error if it means having a more accurate result considering the gravity of the situation, considering you are trying to speak for an entire country (even though the incident was located in only one main area), and considering the focus is to show if Canadians supported it or not, i.e. yes or no?

 

[Frankfooter]

Lol! Cover my ass for what? Backing up my claim? Providing justification and proof?

Must be a foreign concept to someone who spews bs and pivots the minute they lose an argument like you're doing now.

You're still covering your ass.
I posted a poll and you replied with this:

I didn't know that 1,265 people speak for all of Canada?

Then you went on and on about how that's too small a sample size.
Now you're trying to claim you knew exactly what size the sample should have been but it was all about margin of error.

Its really quite funny how much you squirm and refuse to just admit you were wrong.

 

[squeezer]

You're still covering your ass.
I posted a poll and you replied with this:


Then you went on and on about how that's too small a sample size.
Now you're trying to claim you knew exactly what size the sample should have been but it was all about margin of error.

Its really quite funny how much you squirm and refuse to just admit you were wrong.

I am starting to feel bad for Skooby.

 

[Skoob]

You're still covering your ass.
I posted a poll and you replied with this:


Then you went on and on about how that's too small a sample size.
Now you're trying to claim you knew exactly what size the sample should have been but it was all about margin of error.

Its really quite funny how much you squirm and refuse to just admit you were wrong.

Of course I replied like that because the sample size was too small. Unlike you I don't squirm away and change my stand, and then distract to hide failure.

I'll say it again as I've said from the beginning: the sample size is too small.

I've also said the margin of error is too high.

What am I squirming away from exactly?

All this of course coming from a guy who can't read a simple chart...so your intelligence is also in question here.

 

[Frankfooter]

I am starting to feel bad for Skooby.

No need, I think his form of Dunning Kruger makes him think he's winning these debates.
He's as happy as can be and has no idea.

 

[Frankfooter]

Of course I replied like that because the sample size was too small. Unlike you I don't squirm away and change my stand, and then distract to hide failure.

I'll say it again as I've said from the beginning: the sample size is too small.

I've also said the margin of error is too high.

What am I squirming away from exactly?

All this of course coming from a guy who can't read a simple chart...so your intelligence is also in question here.

Bwahahahahaha!

The sample size is correct for a standard 5% deviation poll, which is the range most surveys use.
There is nothing wrong with either, we already went over this repeatedly.

 

[Skoob]

Bwahahahahaha!

The sample size is correct for a standard 5% deviation poll, which is the range most surveys use.
There is nothing wrong with either, we already went over this repeatedly.

There is no such thing as a "standard" when it comes to polls. That's where you are failing. Different polling organizations use different parameters all the time.

And realistically, what you are challenging here is that I'm recommending a lower margin of error but you haven't been able to explain why you disagree with that?

So?

 

[Frankfooter]

There is no such thing as a "standard" when it comes to polls. That's where you are failing. Different polling organizations use different parameters all the time.

And realistically, what you are challenging here is that I'm recommending a lower margin of error but you haven't been able to explain why you disagree with that?

So?

OMG, you really won't give up and admit you are wrong, will you?