Sampling Vocab for Math AI

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Sampling error

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14 Terms

1

Sampling error

is random, characteristic of sample differs from whole population

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2

Measurement error

inaccuracy at collection, can come from how the question is asked

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3

coverage error

sample doesn’t reflect population

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4

non-response error

people selected don’t respond

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5

Simple random sampling

drawn from barrel, 3 students from 30, everyone has an equal chance of being chosen

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6

systematic sampling

selecting members of population at random intervals, useful when not all of the population are available, like every 10th person

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7

convenience sampling

people are chosen due to ease and likelihood to respond

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8

stratified and quota sampling

people can be divided into subgroups

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9

stratified

randomly selected

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10

quota

specifically selected

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11

categorical variable

based on a quality/characteristic

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12

quantitative

numerical

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13

discrete data

comes from counting

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14

continuous

comes from measuring

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