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What else can I help you with?
How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Advantage of sampling?
The advantage of sampling in results is that it greatly simplifies results. If the sample is appropriately random, the results of the sampling will accurately represent the whole.
How do you overcome random error and systematic error?
Random error can be inherent to the system being studied or to the instruments being used to measure characteristics of the system. Sometimes it is possible to find or create measuring instruments that produce results with less random error; sometimes not. Statistical methods can often be employed to estimate actual values shorn of random error. If it not too expensive to obtain individual measurements then it's advisable to gather more measurements so that the statistical methods will produce better results. Systematic errors are often reduced by looking for their sources and eliminating them or by estimating the levels of distortion caused by each of them and correcting measurements accordingly.
What is meant by discrete random variable?
A discrete random variable is a variable that can only take some selected values. The values that it can take may be infinite in number (eg the counting numbers), but unlike a continuous random variable, it cannot take any value in between valid results.
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
What are punnets squares better predicting the results of?
Genotypes on random mating of gametes
Are expected results due to chance or are they arrived at mathematically?
Expected results can arise from both chance and mathematical calculations. In probabilistic contexts, expected values are calculated using mathematical formulas based on probabilities and outcomes. However, in experimental settings, observed results may also reflect random variations or chance. Therefore, while mathematical methods provide a framework for predicting expected results, actual outcomes can be influenced by stochastic factors.
When dividing a population into subgroups so that a random sample from each subgroup can be collected?
simple random sampling
How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Can a random error in collected data be corrected?
Random errors in collected data, which arise from unpredictable fluctuations during measurement, cannot be directly corrected after the fact. However, they can be minimized through larger sample sizes and repeated measurements, which help to average out these errors. Statistical techniques can also be employed to estimate and account for their impact on data analysis. Ultimately, while individual random errors can't be corrected, their effects can be reduced and managed in the interpretation of results.
What is a Random sample poll?
A random sample is a sample that is collected without any specific characteristics in mind. For instance, instead of collecting a sample of women or members of a particular age group, they are collected randomly off the streets.
What is a random sample in a poll?
A random sample in a poll refers to a subset of individuals selected from a larger population in such a way that every member has an equal chance of being chosen. This method helps ensure that the sample is representative of the overall population, reducing bias and improving the accuracy of the poll's results. Random sampling is crucial for generalizing findings and drawing valid conclusions from the data collected.
What statistical tests can I use on data collected from quota samples?
The simple answer is you cannot use statistical tests on data collected from quota samples. Unless the sample was collected using a random sampling technique you cannot have any confidence in the results being representative of the population you are sampling. Quota samples are non random. However this does not stop researchers from using statistical tests on quota samples, even if the results can be taken with a pinch of salt!
Why is it important to make sure you random sample is random?
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
Advantage of sampling?
The advantage of sampling in results is that it greatly simplifies results. If the sample is appropriately random, the results of the sampling will accurately represent the whole.
What is objectivity in statistics?
the use of random sampling that results in an unbiased conclusion.
Which of the following is not a way to influence poll results?
using a random sample
