Psychology AQA A PSYA4 18th June 2012!

So ordinal is like <-- bad, indifferent, good, satisfactory, fantastic??

interval is numbers...but 0 means something when it's ratio <--does that mean ratio as in 1:3

haha no worries.

Well let's break it down...
It's a difference because we're looking at the difference between eating a breakfast and not eating a healthy breakfast. We're not looking for a correlation between the two conditions.
They're independent groups because there's two conditions - eating and not eating.
It's interval data because she's looking at the childrens' reading speed (as mentioned in the first paragraph) - time is a unit which is at intervals.

If you wanted me to confuse matters, I could argue that interval data CAN be treated as ordinal too. In that respect, you'd still find that Mann Whitney U was the appropriate test due to it being a difference and independent groups.

I think that's all right, but I'm sure someone will correct us if it's not! Hope that made sense!

I think that "bad, indifferent, good, satisfactory, fantastic" would count as nominal data because you can't actually measure those adjectives empirically. I haven't done about ratio; we've just done nominal, ordinal, and interval.

Nominal - Categorical. I just remember it as "words".
Ordinal - If they can be put in an order.
Interval - If they're a specific measurement at intervals, such as height, weight, time.

As always, I'm sure someone will correct me if that's not right!

So ordinal is like <-- bad, indifferent, good, satisfactory, fantastic??

interval is numbers...but 0 means something when it's ratio <--does that mean ratio as in 1:3

haha no worries.

I think ordinal is more like um say finishing positions in a race, You can put them in a rank order but the time inbetween each athletes finishing position wont be in equal intervals
e.g - (100m race)
Usaine Bolt - 1 second
Linford Christie - 5 seconds
Tyson Gay - 6 seconds
Me - 1 hour

^They're placed in rank order but aren't equally spaced out

Yep, just think interval is different to ordinal in that they are equally spaced out
But no, I think ratio is just a random name given to the data (just to make things more confusing for us :|)

That actually makes perfect sense thankyou I'm learning.

HOWEVER, you actually did confuse me with the part of it can be treated as ordinal.How can it.?/ interval is just numbers, and ordinal is ranking but without numbers so like 'pretty, moderate, uggly, attrocious,'

No nominal data, has no ranking.
Nominal data is just categories such as 'red, blue, green'or 'cat, dog, mouse'
one is not more than another..

neither have I, but that rachel said that theres a ratio do you thinkwe need to know it?: well if we do, all we need to know is, ratio in the interval category shows when zero is relevant.

Nominal data refers to categorical data.
Ordinal data refers to ranking WITH numbers.
Interval data refers to intervals in a measurement such as height, weight, etc.

Hence, Interval data can still be ordered so it can be treated as ordinal. Most of the time anyway.

ordinal data is WITH numbers?!!!!!! reallyyyy??/....are you sure sure sure??
all this tiime i thought it's rank with words....cos it wud make senss,.e


i'm just getting confused now!

ordinal data is WITH numbers?!!!!!! reallyyyy??/....are you sure sure sure??
all this tiime i thought it's rank with words....cos it wud make senss,.e


i'm just getting confused now!

99.9% sure. I was 100% sure before you started doubting it, haha!

Yeah Pretty sure none of them really matter if words/numbres have been used to set the data out appart from nominal

I just think of nominal like [nom] [nom] [nom] (like omnomnomnom
cause it's set up in little chunks (categories) [1nom] [2nom] [3nom]

Lol aww bless.
But cmon it'd make sense.

Nominal-categories
Ordinal-ranks
interval- numbers.

Howeveri've checked in general what ordinal means, and it does involve numbers, so i think you are right..
So now you gotsto tell me how you can differentiate interval and ordinal..
cos wudnt interval have a ranking as well...the higher the number...the higher the rank?

Interval has set spaces in between the data (2 4 6 8 10)

Ordinal is still put in rank order but the spaces inbetween the data arent the same (1 3 4 6 7 23)

But getting that part wrong could get us get the statistic wrong, like we might use Man whiteney isntead of spearman or sumert...

looooooooooolll.you're next level!!
I'm defo going to remember that!

kk whats

I don't get it...

do you mean....
in the interval one, the number can be precised down to even more,like ther are numbers in between..like 1, 2, there can be 1.5

and ordinal,is just separate numbers they hav no relationship witgh each other

Well that's where you need to take other things into account like experimental designs, if there's a correlation ect

Haha well I don't remember anything if I don't make up something stupid to remember it by

Central tendancy is -
Mean
Median
Mode
(I think that's it correct me if i'm wrong)

Dispertion is -
Range
Standard deviation

Measures of dispertion show how spread out the data is around the mean value

Not really sure of a definition to explain Measures of central tendancy though, it's pretty much just finding an average/middle result

Ummmmm, Interval's like say the date collected is:

2 4 6 8 10

There is always one space (one number) between each individual score
1 2 3 4 5 6 7 8 9 10

Yep that's right for ordinal but it still must be placed in rank order
so if participants score differently on a test out of 100

e.g

30% 70% 10% 40%

you can place these in rank order (of who did best)

10% 30% 40% 70%

but the scores arent equally spaced