Asking people how they feel could render so many variances so I'd go with sure, no, and maybe. Ask someone ignorant to any teachings of physics, a high school student who finished highschool physics and an aerospace engineering student how much they know about physics... All of them could say they wish they knew more to fully understand what they wish to understand.

Kind of like that old saying, the more you learn the more you realize you don't know.

Nah, shitty questions as usual. Go around any country and all folks to explain a p value and how is derived.

Unless it's your day job that's just not information the common person retains. A cursory knowledge of what it is and how is used is all that's needed for most.

It says more than half, so it's a sure thing.

The odds of winning the lottery are the same as getting struck by lightning twice.

Easier to understand.

That's exactly it. Statistics is a far simpler math than functions or calculus, yet it doesn't get taught until university.

If people understood statistics, they would understand that all political polling is vastly underpowered.

The lottery is just the tip of the iceberg.

But people don't learn statistics for the same old reasons: indoctrination, privilege/deprivation, ancient/misguided teaching standards, etc.

Similarly most people don't ever learn compsci/programming because for example they're studying calculus from the 1700s that they'll never use, etc.

The end goal is a compliant, obedient servant/prisoner, not an educated, critical person.

It’s a toss up.

Well they either know it, or they don't.

It's 50/50 chance

Statics is a different class entirely!

Also given how few people have to actually do statistical analysis. I took two different stats classes for my major, got As in both, but I couldn't tell you a single formula or anything now.

He just needs some common sense

One's got a four in it and the other's got a three, the bigger one is obvious.

You don’t need to look up how a p value is calculated, the calculation depends entirely on your model and hypothesis assumptions.

The best way I’ve heard a p value described was “the degree to which the data are embarrassed by the null hypothesis”. It’s the most succinct, correct, and easy to remember description.