Vocab Exam 1 Flashcards

1
Q

Population

A

The entirety of data points that is of interest

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2
Q

Parameter

A

The true value of the population of interest. This can be the mean, variance, proportion, etc.

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3
Q

Estimate

A

The process of inferring the underlying value of interest from incomplete data

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4
Q

Sampling Error

A

The chance difference in the sample’s estimate of the population’s parameter, which results from not sampling the entire population

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5
Q

Bias

A

Systemic deviation between a sample and its population that results in a directional difference in a sample’s estimate of a population’s parameter

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6
Q

Accuracy

A

How close the estimate is to the true population parameter

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7
Q

Precision

A

The spread or variability between sample estimates

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8
Q

Random sampling

A

Samples that fulfill the following two criteria:
1. Every data point has an equal probability of being included in the sample
2. Selection of data points is independent

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9
Q

Convenience sample

A

The sample is based on individuals easily available to the researcher

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10
Q

Volunteer bias

A

Arises form systemic difference between individuals who volunteer and the population of interest

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11
Q

Frequency distribution

A

The number of times each value occurs in your sample

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12
Q

Population distribution

A

The probabilities associated with each outcome across the entire population

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13
Q

Discrete distribution

A

Only certain values are possible (e.g. number of children, shoe size, wins at March Madness)

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14
Q

Continuous distribution

A

Any value is (theoretically) possible (e.g. height, time to complete an exam, amount of rainfall)

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