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Ch. 1 - Introduction to Statistics
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446당신이 사용하는 게 아니라요?교과서 변경
1장, 문제 1.2.10

In Exercises 5–12, identify whether the given value is a statistic or a parameter.
Smart Phones In a Pew Research Center poll, a sample of adults in the United States was obtained, and it was found that 72% of them own smart phones.

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1
Understand the difference between a statistic and a parameter: A statistic is a numerical measurement describing some characteristic of a sample, while a parameter is a numerical measurement describing some characteristic of a population.
Identify the group being described: In this problem, the group being described is a sample of adults in the United States.
Identify the numerical value given: The problem states that 72% of the sample owns smart phones.
Determine if the value is describing a sample or a population: Since the 72% is derived from a sample of adults, it is describing a characteristic of a sample.
Conclude whether the value is a statistic or a parameter: Since the value describes a sample, it is a statistic.

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주요 개념

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Statistic

A statistic is a numerical value that describes a characteristic of a sample, which is a subset of a larger population. In this context, the 72% figure represents the proportion of smart phone ownership among the sampled adults, making it a statistic because it is derived from a specific group rather than the entire population.
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Parameters vs. Statistics

Parameter

A parameter is a numerical value that describes a characteristic of an entire population. It is a fixed value that is often unknown and can only be estimated through sample statistics. If the 72% ownership rate were known for all adults in the United States, it would be considered a parameter.
추천 영상:
가이드 코스
05:53
Parameters vs. Statistics

Sampling

Sampling is the process of selecting a subset of individuals from a larger population to estimate characteristics of the whole population. The Pew Research Center poll used a sample of adults to determine the percentage of smart phone ownership, highlighting the importance of sampling in making inferences about broader trends based on limited data.
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05:11
Sampling Distribution of Sample Proportion
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교과서 질문

In Exercises 21–28, determine which of the four levels of measurement (nominal, ordinal, interval, ratio) best describes the given data.

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교과서 질문

In Exercises 9–20, identify which of these types of sampling is used: random, systematic, convenience, stratified, or cluster.

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교과서 질문

In Exercises 29–32, indicate whether the observational study used is cross-sectional, retrospective, or prospective.

Heart Health Study Samples of subjects with and without heart disease were selected, and then researchers looked back in time to determine whether they took aspirin on a regular basis.

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Exercises 5–8 refer to the study of an association between which ear is used for cell phone calls and whether the subject is left-handed or right-handed. The study is reported in “Hemispheric Dominance and Cell Phone Use,” by Seidman et al., JAMA Otolaryngology—Head & Neck Surgery, Vol. 139, No. 5. The study began with a survey e-mailed to 5000 people belonging to an otology online group, and 717 surveys were returned. (Otology relates to the ear and hearing.)

Experiment or Observational Study Is the study an experiment or an observational study? Explain.

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교과서 질문

In Exercises 33–36, identify which of these designs is most appropriate for the given experiment: completely randomized design, randomized block design, or matched pairs design.


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