eda Flashcards

1
Q

statistical inference

A

statistical inference

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2
Q

(a reasonable value) of a population parameter

A

point
estimate

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3
Q

the observations are considered to be random variables, say, Therefore, any function of the observation, or any statistic,

A

random variable

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4
Q

Because a statistic is a random variable, it has a probability distribution. Wecall theprobability distribution of a statistic a

A

sampling distribution.

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5
Q

of some population parameter θ is a single numerical
value of a statistic

A

point estimate

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6
Q

The statistic � is called the

A

point estimator.

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7
Q

is any function of the observations in a random sample

A

statistic

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8
Q

observed data

A

random sample

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8
Q

is computed by dividing the number of individuals in
the sample who prefer the brand of soft drink by the total sample size �

A

sample proportion

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9
Q

A way to avoid this is to report the
estimate in terms of a range of plausible values called a

A

confidence interval.

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10
Q

estimate for μ is an interval of the form l ≤ μ ≤
u, where the end-points l and u are computed from the sample data.

A

confidence interval

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11
Q
A
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12
Q
A
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13
Q
A
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14
Q
A
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15
Q
A