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相关概念视频

Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.0K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.0K
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

7.7K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
7.7K
Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

8.3K
To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
8.3K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
Surveys02:16

Surveys

14.8K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.8K
What are Populations and Communities?00:30

What are Populations and Communities?

33.9K
Overview
33.9K

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相关实验视频

Updated: Jul 6, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
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在居民众包资源中量化空间报告不足的差异.

Zhi Liu1, Uma Bhandaram2, Nikhil Garg3

  • 1School of Operations Research and Information Engineering, Cornell Tech, New York, NY, USA.

Nature computational science
|January 4, 2024
PubMed
概括

城市居民报告的问题不均,导致服务延迟. 这项研究引入了一种新的方法来衡量这些报告延迟,揭示差异,并建议为公平的城市服务提供解决方案.

科学领域:

  • 城市研究 城市研究
  • 数据科学数据科学数据科学
  • 公共管理 公共管理

背景情况:

  • 众包对于现代城市治理至关重要,它可以识别诸如倒下的树木和电线等问题.
  • 居民之间不平等的报告率导致解决事件的重大延迟,造成下游服务差异.

研究的目的:

  • 开发一种新的方法来识别和量化居民报告延迟,而没有外部实况数据.
  • 分析事件报告及时性的空间和社会经济差异.

主要方法:

  • 利用同一事件的重复报告率来推断报告延迟.
  • 将开发的方法应用于纽约市和芝加哥居民报告的大规模数据集.

主要成果:

  • 在这两个城市中,在事件报告延迟方面发现了实质性的空间和社会经济差异.
  • 该方法使用外部数据进行了验证,证实了其在估计报告延迟方面的可靠性.

结论:

  • 估计报告延误为改善政府服务效率和公平提供了实际见解.
  • 调查结果强调需要有针对性的干预措施来解决报告差异,并确保公平的服务提供.

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