scispace - formally typeset
Search or ask a question

How can we estimate the original number of coins? 


Best insight from top research papers

To estimate the original number of coins, a test apparatus with a weighing part can be used to determine the total mass of the coins. The apparatus also has a selection means for inputting a reference parameter, such as an expected number of coins. A computing unit then calculates the difference between the reference parameter and the weighed mass of coins . Another method involves using a stacking tube fixed to a pedestal, where coins are stacked on a plate and evaluated based on the number of steps required to break an optical barrier at the top, indicating the number of coins present . These methods provide ways to estimate the original number of coins based on their mass or the number of steps required for stacking and evaluation.

Answers from top 5 papers

More filters
Papers (5)Insight
The original number of coins can be estimated by counting the number of steps required to break an optical barrier at the top of the stacking tube.
The number of coins can be acquired based on scale reading, which provides an intuitive and accurate estimation.
The given information does not provide any details or context about estimating the original number of coins.
The test apparatus uses a weighing part and a reference parameter to determine the difference between the expected number of coins and the weighed mass, allowing for estimation of the original number of coins.
The paper does not provide any information about estimating the original number of coins.

Related Questions

What are 3 coins that make R10 in numbers?5 answersThree coins that make R10 in numbers can be represented by the following combinations: 8-95, 1-15, and 0-90. Additionally, the research by Fang et al. discusses the concept of a coin with a core, outer ring, and central ring that is transmissive to electromagnetic waves of a specific wavelength range. Furthermore, Jilkine's study delves into the comparison of confidence intervals for regression coefficients using different bootstrapping methods, highlighting the importance of statistical analysis in understanding data variations. These diverse contexts provide insights into numerical combinations, coin structures, and statistical methodologies, collectively contributing to a comprehensive understanding of the topic.
How is the sample size calculated?5 answersSample size calculations are an important step in designing clinical trials. The calculation is based on the standard sample size formula, with additional factors such as the number of follow-up measurements and the estimated correlation between repeated measurements. Determining the target effect size is critical in sample size calculation, and it can be done through methods such as reviewing the evidence base. In trials that incorporate historical controls using the meta-analytic-predictive (MAP) approach, a Monte Carlo approach is proposed to calculate the sample size, taking into account the available historical data. In randomized clinical trials (RCTs), the sample size calculation is performed using specific calculators that require input variables such as the expected effect size, alpha and beta errors, and the allocation ratio. In pilot sequential multiple assignment randomized trials (SMARTs), the sample size is determined based on precision, ensuring meaningful information for future full-fledged SMARTs.
I have a true random number generator. how will you verify its output?5 answersStep 1: To verify the output of a true random number generator, you can use methods such as checking the output signal from the random source, assessing the output of the generator for multiple sampling cycles, and comparing the signatures from these cycles. Additionally, you can assess the quality of the generated randomness using statistical tests recommended by NIST SP 800-22. Another approach involves using a random number generator comprising variable-resistance switching devices, a voltage application unit, and a comparison unit to compare the voltages of the devices' ends when different voltages are applied. Step 3: To verify the output of a true random number generator, you can use methods such as checking the output signal from the random source, as described by Boehl in Context_1. Another approach involves assessing the output of the generator for multiple sampling cycles and comparing the signatures from these cycles, as mentioned by Boehl in Context_2. Additionally, the quality of the generated randomness can be assessed using statistical tests recommended by NIST SP 800-22, as detailed by Elmitwalli and Köse in Context_3 and by the unnamed author in Context_4. Finally, a different approach involves using a random number generator comprising variable-resistance switching devices, a voltage application unit, and a comparison unit to compare the voltages of the devices' ends when different voltages are applied, as described by Huang et al. in Context_5.
How to calculate the total population?5 answersTo calculate the total population, various methods can be used. One approach is to use a population calculation system that acquires the number of counted people in a specific area and calculates the population based on a scaling factor. Another method involves using regression estimation techniques, such as local linear regression or nonparametric models, supplemented by auxiliary variables, to estimate the total population. Additionally, high-precision building data can be utilized to construct a population calculation model based on the volume data of different types of residential buildings in a specific area. Spline functions can also be employed to estimate the finite population total, with comparisons made to model-based, model-assisted, and non-parametric estimators. These methods aim to improve the accuracy and reliability of population data for research purposes.
Calculating sample size of whole population, census?How big should the census be?5 answersThe size of a census, or the sample size required to accurately represent the whole population, depends on the purpose of the survey. For accurate results, different sample sizes are needed for different types of population surveys. For example, a sample size of 830,000 is required for marriage and birth rates, while a sample size of 7.8 million is needed for population age distribution. In the context of estimating the size of a closed population, an approach that allows for varying susceptibility to capture through individual parameters has been developed. Genetic methods using non-invasive sampling techniques and multi-locus genotype data can provide large sample sizes for estimating effective population size and census size. In the case of studying homelessness, new microdata sources such as the 2010 Census, American Community Survey (ACS), and Homeless Management Information System (HMIS) have been compared to estimate the size and characteristics of the homeless population. The implementation of quality assurance strategies has improved the accuracy of census data, but significant uncertainty remains in population estimates.
How do you get corrosion off old coins?10 answers