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The resistance of a sample can increase with an increasing magnetic field due to the phenomenon known as magnetoresistance. In certain materials, the presence of a magnetic field affects the motion of charge carriers, leading to increased scattering and reduced mobility. This increased scattering can cause the overall resistance to rise. Additionally, in some materials, magnetic fields can enhance spin-dependent scattering, further contributing to the increase in resistance.
What else can I help you with?
What is a potential health problem that could arise from genetic engineering?
Sample answer: Engineered traits such as herbicide resistance could transfer to weeds and create "superweeds."
Sample order and acknowledgement letter?
A sample order and acknowledgement letter can be found on the 'Sample Letter Templates' website. The sample is not a downloadable sample but will suffice the purpose.
What sample was used in project pat choices?
I believe the sample was Curtis Mayfield
What do you mean by sample design?
Sample design refers to the process of selecting a sample from a larger population for research or data analysis. The sample is a subset of the population, which is selected to represent the population's characteristics accurately. Sample design involves determining the size of the sample, the sampling method, and the criteria for inclusion in the sample. The size of the sample is typically determined based on the desired level of precision, level of confidence, and resources available for the research or data analysis. The sampling method can be random, stratified, cluster, or systematic, depending on the research question and the characteristics of the population. The criteria for inclusion in the sample are determined by the research question and the population's characteristics. For example, if the research question is about the prevalence of a particular disease in a population, the sample design may include criteria for age, gender, and other demographic variables to ensure that the sample represents the population's characteristics accurately. Sample design is a critical aspect of research and data analysis, as it directly affects the accuracy and generalizability of the results. A well-designed sample can help to minimize bias and increase the reliability of the results, while a poorly designed sample can lead to inaccurate or misleading conclusions. Therefore, it is essential to carefully consider sample design when conducting research or data analysis to ensure that the results are valid and reliable.
What Msbte sample question paper of IF 3rd sem polytechnic?
For all MSBTE Sample Question Papers, see related link.
Does the size of a sample affect the values of the frequency table?
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
Can increasing sample size reduce random error?
Random error and sample size have an inverse relationship...As sample size INCREASES random error DECREASES. There's a good explanation at the related link.
As the temperature of a radioactive sample increases the rate of the nuclear decay?
The rate of nuclear decay increases as the temperature of a radioactive sample increases. This is due to the increased kinetic energy of the nuclei at higher temperatures, which facilitates interactions that lead to nuclear decay.
What affect does increasing the sample size have on the width of the confidence interval?
Increasing the sample size decreases the width of the confidence interval. This occurs because a larger sample provides more information about the population, leading to a more accurate estimate of the parameter. As the sample size increases, the standard error decreases, which results in a narrower interval around the sample estimate. Consequently, the confidence interval becomes more precise.
What happens to the partial pressure of oxygen in a sample of air when the temperature increases?
When the temperature of a sample of air increases, the partial pressure of oxygen also increases.
How does increasing the sample size affect the sample error of the mean?
It should reduce the sample error.
Does the distribution of sample means have a standard deviation that increases with the sample size?
No, it is not.
As the sample size increases the standard deviation of the sampling distribution increases?
No.
What happens to the sample mean as the sample size increases?
With a good sample, the sample mean gets closer to the population mean.
As the sample size increases what does the expected value of M do?
You have not defined M, but I will consider it is a statistic of the sample. For an random sample, the expected value of a statistic, will be a closer approximation to the parameter value of the population as the sample size increases. In more mathematical language, the measures of dispersion (standard deviation or variance) from the calculated statistic are expected to decrease as the sample size increases.
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
The precision with which a sample average approximates a population average increases as?
the standard deviation of the sample decreases.
