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What are advantages and disadvantages in cluster sample?
Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.
When could the sampling error be zero?
I believe you are considering the sampling error as calculated from data. I will give you some examples: If you get the exactly same response from all participants in a survey, you will calculate zero sampling error. For example, if I ask 10 people if Obama Barack is the President of the US, I would probably get 10 "yes" responses. Now the answer was well known, so I would expect very few "no" response. If your measurements are not very sensitive or are recorded with a lack of precision, then there can be zero sampling error. For example, I take the body temperature of students at the college and consider any temperature from 97 to 99 degree F to be normal. I find all students in my sample have normal temperatures. So, zero sampling error can occur because a) sample is small, b) variation in response is either non-existent or very small. In theoretical calculations, where sample error is based on the probability distribution of the population, one can calculate for discrete variables, the probability that a sample error will be zero.
What are the differences between sampling error and sampling bias?
Sampling bias is a known or unknown selection of data to be examined in an audit. There should be no bias if the sample is random. Ex ... look at the first item in the file folder. or examine all files for purchases over $10,000, or examine no files for sales less than $500. Sampling error, is the incorrect selection of files for an audit. Ex ... a random number generator tells you to audit file 1547, but you select 1457. Sampling error is also used to describe the fact that auditing a sample will NOT create the exact same answer as auditing every single file or transaction.
What is probability sampling and non probability sampling?
In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.
What is the difference between the sample mean and the population mean known as?
Sampling bias.
What are advantages and disadvantages in cluster sample?
Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.
What is a source of unavoidanle experimental error in an experiment that was testing for optimal amount of required for rose plant to grow?
An error occurring due to sampling in the experiment. It is known as S.E. (Standard Error).
What is sampling examine well known methods of probability and nonprobability sampling in statistic?
Non probability sampling and probability sampling are different because probability sampling uses random samples. Non probability sampling aren't random, but can still be representative of the population as a whole if done correctly.
When could the sampling error be zero?
I believe you are considering the sampling error as calculated from data. I will give you some examples: If you get the exactly same response from all participants in a survey, you will calculate zero sampling error. For example, if I ask 10 people if Obama Barack is the President of the US, I would probably get 10 "yes" responses. Now the answer was well known, so I would expect very few "no" response. If your measurements are not very sensitive or are recorded with a lack of precision, then there can be zero sampling error. For example, I take the body temperature of students at the college and consider any temperature from 97 to 99 degree F to be normal. I find all students in my sample have normal temperatures. So, zero sampling error can occur because a) sample is small, b) variation in response is either non-existent or very small. In theoretical calculations, where sample error is based on the probability distribution of the population, one can calculate for discrete variables, the probability that a sample error will be zero.
What are the differences between sampling error and sampling bias?
Sampling bias is a known or unknown selection of data to be examined in an audit. There should be no bias if the sample is random. Ex ... look at the first item in the file folder. or examine all files for purchases over $10,000, or examine no files for sales less than $500. Sampling error, is the incorrect selection of files for an audit. Ex ... a random number generator tells you to audit file 1547, but you select 1457. Sampling error is also used to describe the fact that auditing a sample will NOT create the exact same answer as auditing every single file or transaction.
What does error discussion mean?
when youre writing a lab report and you get to the discussion part you shouldbe disussing the relevance of your study and the short comings of your research, which is also known as error. usually it involves somethign that could have affected your results. leave out human error though because that's not a good source of error
When the population standard deviation is known the sampling distribution is known as what?
normal distribution
What is probability sampling and non probability sampling?
In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.
A test for genetic abnormalities that is performed between the 8th and 10th week of pregnancy is known as villus sampling CVS?
Chorionic villus sampling
When the population standard deviation is known the sampling distribution is a?
normal distribution
What is the examination of cells retrieved from the edge of the placenta between the eighth and tenth weeks of pregnancy is known as?
chorionic villus sampling
What happens if your name is misspelled in a court case?
If you are able to be identified from all the the other information supplied in the documents, yes, you can be. An error such as this is known as a "scrivener's error" and is actually not uncommon.
