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Statistics 2126. Dr. Dave Brodbeck. Introduction. What is statistics? Why is it useful? We are all consumers of scientific information Political polls “A recent study showed….” Allows us to determine if something “really” happened And it is a required course…. Numbers and Reality.
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Statistics 2126 Dr. Dave Brodbeck
Introduction • What is statistics? • Why is it useful? • We are all consumers of scientific information • Political polls • “A recent study showed….” • Allows us to determine if something “really” happened • And it is a required course…
Numbers and Reality • You can do pretty much anything to numbers • They don’t complain • Here is a batch of six numbers: • 33, 6, 2, 66, 12, 91 • The average of these numbers is 34
Reality is overrated • So the average is 34 • Is this meaningful? • Well not so much in this case no…
Variables • A variable is a measurable factor, characteristic, or attribute of an individual or a system • In other words, stuff you can measure • Age • Height • Eye colour
Levels of measurement • Variables can be classified as to their level of measurement • Nominal variables are basically categories • e.g • Hair colour • Hockey sweater number
More variables • Ordinal variables represent not only category but order • So like first, second and third place in a race • The difference is not consistent though
Very nice variables • With interval variables the distance between the values is meaningful • 25 ºC 5 ºC warmer than 20 ºC • 275 ºC 5 ºC warmer than 270 ºC • However, 20 ºC is NOT twice as warm as 10 ºC • There is no real zero point (0 ºC does not represent no temperature)
Ratio scales are the very best • The ratio scale brings in all of the other characteristics discussed so far, but brings in a true 0 point • Kelvins • 20 K IS twice as warm as 10 K (still pretty freaking cold though….)
Now for an audience participation number • What type of variables are these? • Speed • Number of Stanley Cups won • TV channel • CIS football ranking • IQ
More stuff you should know • Operational definition • Defining a construct solely based on the operations used to measure it • Intelligence is IQ • Hungry is not having eaten for 5 hours • How about • Tired • Rich • Runs fast
More Key Terms • Distribution • What values variables take under what conditions • Variables can be either discreet or continuous • Discreet variables • Different values, but only some • Continuous variables • Infinite number of values