Parameter vs Statistic & Sample vs Population
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| population | is the entire group of objects you want to study.
ex: scores, people, measurements
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| sample | is a smaller subset chosen from the population and a representative of the population.
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| parameter | is a number which describes a property of only a sample.
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| random sample | every object in the population is equally likely to be picked for the sample.
ex: pick name out of hats.
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| systematic sample | every Kth object is chosen for the sample.
ex: think assembly line pick every 10th computer off the line.
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| convenience/volunteer/self-selected | are non scientific approaches that will not lead to a representative sample.
ex: online surveys, phone polling, restaurant surveys
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| cluster sample | is the method that picks groups randomly from the population instead of pick one object.
Every object in randomly selected groups forms our sample.
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| stratified sample | is the method when we divide the entire population into meaningful groups.
Ex: republican and democrats, male or female
randomly sample to fill each group
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| 1st: randomly pick groups from population. 2nd: sample is every object from the groups | cluster sample
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| 1st: subdivide population with named groups. 2nd: randomly select objects from each group. | stratified sample
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| quantitative data | is numeric data in which you can count.
ex: ages, weight
refers to data type not a level of measurement
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| categorical (qualitative) data | is NOT numeric but instead you break them into categories by labels.
ex: eye color, letter grades
NOT how many people.
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| ratio level | means 0=None
Can not have negative numbers
ex: age, length, weight, measurement of amounts
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| interval level | 0 not equal to NONE. can be negative.
ex: temperature
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| ordinal level | categories have a built in order. reordering would be confusing.
ex: letter grades a,b,c,d
smallest to largest
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| nominal level | categories can be put in any order and not be confusing. can not be arranged in an ordering scheme.
ex: eye color, names, labels, categories.
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| discrete data | data you can count. "number of"
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| continuous data | data you can measure
ex: height, length, age
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Created by:
abrock82
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