“Driven” suggest more than half *of total pregnancies, which is not true looking at the graph given above. It was solidly third in terms of totals, which is still unsettling, but not as pronounced as your comment suggests.
That’s not what a driver is. Driver is a general term, ten pregnancies are a driver of total birth rate, as they have impacted total fertility significantly.
The amount the percentage represents is irrelevant. A billion people could be involved, but if the total is 7 billion, it’s not going to be a significant part of the total trend.
5% can be a driver if it’s having a decent impact on your results. This is kind of a stats 101 thing man. You might even look for those outliers in your results and find a way to specifically exclude them if you find that the information you’re getting is being skewed. Do that too hard and it’s called P-hacking.
“We found that the bottom 5% of respondents were driving results negatively and so excluded the top and bottom 5%.”
Think about it as a literal driver. It’s a driver. It’s not the driver and also half the passengers. You can drive a motorcycle, you can drive a bus, and how much of the occupancy you are of those two things can change dramatically but you’re still a driver.
Obviously even 1 extreme outlier can skew things, but that’s not the case here.
In the terms of your analogy, this is about 3 people out of 20 pedaling a (weirdly long) bike and steered by all of them (somehow). Would you say that group of 3 are driving? Or would you concede it’s the two groups of 6 that are mostly driving the bike?
Your numbers are all over the place and don’t really make sense for what you’re talking about. 3 plus two groups of 6 would only be 15 out of 20, so where did the other 5 people go?
But more to the point, if those 3 stop pedaling, or pedal harder than everyone else combined, or apply the brakes, or tip the bike over, any number of other things they could absolutely change the speed/direction of the bike.
What happens when those three pedal the other direction?
It’s stats, it’s a descriptive term. It just literally doesn’t mean what you’re saying it means.
A driver in stats is just an item or a group that has a significant impact on the final result. What that means is going to vary from study to study.
Anyway, you can hold on to your belief about what a driver is, you are factually incorrect, and you were also kind of an asshole to the other guy. I’m out.
deleted by creator
“Driven” suggest more than half *of total pregnancies, which is not true looking at the graph given above. It was solidly third in terms of totals, which is still unsettling, but not as pronounced as your comment suggests.
Who told you that drivers have to be 51%?
That’s not what a driver is. Driver is a general term, ten pregnancies are a driver of total birth rate, as they have impacted total fertility significantly.
Less than 20% of a total is “significant”?
When it comes to teen pregnancies, 1 is 1 too many. ~20% is significant.
Yeah, that’s not what I said.
Yes. For example, 60 million people in the US (less than 20% of our total population) is a significant amount of people.
The amount the percentage represents is irrelevant. A billion people could be involved, but if the total is 7 billion, it’s not going to be a significant part of the total trend.
Yes it is…
5% can be a driver if it’s having a decent impact on your results. This is kind of a stats 101 thing man. You might even look for those outliers in your results and find a way to specifically exclude them if you find that the information you’re getting is being skewed. Do that too hard and it’s called P-hacking.
“We found that the bottom 5% of respondents were driving results negatively and so excluded the top and bottom 5%.”
Think about it as a literal driver. It’s a driver. It’s not the driver and also half the passengers. You can drive a motorcycle, you can drive a bus, and how much of the occupancy you are of those two things can change dramatically but you’re still a driver.
Obviously even 1 extreme outlier can skew things, but that’s not the case here.
In the terms of your analogy, this is about 3 people out of 20 pedaling a (weirdly long) bike and steered by all of them (somehow). Would you say that group of 3 are driving? Or would you concede it’s the two groups of 6 that are mostly driving the bike?
Your numbers are all over the place and don’t really make sense for what you’re talking about. 3 plus two groups of 6 would only be 15 out of 20, so where did the other 5 people go?
But more to the point, if those 3 stop pedaling, or pedal harder than everyone else combined, or apply the brakes, or tip the bike over, any number of other things they could absolutely change the speed/direction of the bike.
What happens when those three pedal the other direction?
It’s stats, it’s a descriptive term. It just literally doesn’t mean what you’re saying it means.
A driver in stats is just an item or a group that has a significant impact on the final result. What that means is going to vary from study to study.
Anyway, you can hold on to your belief about what a driver is, you are factually incorrect, and you were also kind of an asshole to the other guy. I’m out.
Relevant
XKCDH. Bomberguy