Estimation of Parameters | 暗記メーカー

暗記メーカー

Estimation of Parameters

8問 • 1年前

問題一覧

1

the process of concluding about the parameter values based on sample information.

Inferential Statistics

2

a numerical description of the entire population. It is usually unknown because it is infeasible to survey the whole population.

Parameter

3

Types of Inferential Statistics:

Estimation, Hypothesis Testing

4

Types of Inferential Statistics:

Point, Interval

5

Is the probability distribution that estimates the population parameters when the sample size is small and the population standard deviation is unknown.

T-Distribution

6

Refers to the number of independent observations on the set of data, or the number of variables that are free to vary.

Degrees of Freedom

7

Usually expressed in percent, it sets a portion of the sample to be included within a known range of the true population. It quantifies the probability in which, a member of the sample would fall within a known interval of the true population.

Confidence Level

8

Also known as Interval estimate, and is a range of values that used to estimate parameters. This estimate may or may not contain the true parameter value.

Confidence Interval

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問題一覧

1

the process of concluding about the parameter values based on sample information.

Inferential Statistics

2

a numerical description of the entire population. It is usually unknown because it is infeasible to survey the whole population.

Parameter

3

Types of Inferential Statistics:

Estimation, Hypothesis Testing

4

Types of Inferential Statistics:

Point, Interval

5

Is the probability distribution that estimates the population parameters when the sample size is small and the population standard deviation is unknown.

T-Distribution

6

Refers to the number of independent observations on the set of data, or the number of variables that are free to vary.

Degrees of Freedom

7

Usually expressed in percent, it sets a portion of the sample to be included within a known range of the true population. It quantifies the probability in which, a member of the sample would fall within a known interval of the true population.

Confidence Level

8

Also known as Interval estimate, and is a range of values that used to estimate parameters. This estimate may or may not contain the true parameter value.

Confidence Interval