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What are the advantages of sampling plans based on statistical laws and guidelines?
Wiki User
∙ 11y ago
A) more economical
B)fewer personnel needed
C) Less handling
Wiki User
∙ 11y ago
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Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
What are the advantages and disadvantages of using a statistical model?
The importance of statistical modeling is obvious because we often need modelling for the purpose of prediction, to describe the phenomena and many procdures in statistics are based on assumption of a statistical model. Modeling is also important for statistical inference and make decision about population parameter. M. Yousaf Khan
Discuss the utility of statistics as a managerial tool Also describe its limitations?
The limitation of any statistical application is the fact that it always depends on some sampling. If this sampling is incomplete, or not representative of your actual base (say customers), your data may not yield accurate conclusions. Additionally, since it depends on sampling, your measurement is only applicable to a base that fits the profile of your sampling. For instance, if you took your sampling from Caucasian males over age 35, and it turns out your customer base has a large number of African, American females under 23, your conclusions based on the statistics could be imperfect.
When every Member of a population has the chance of being selected based on probability what type of sampling is this?
Simple random sampling.
What is convenience sampling in statistics?
It is a form of nonrandom sampling. In essence it means obtaining observations that are easiest to get. For example, asking your friends how they plan to vote would be a political poll based on a convenience sample. Many types of formal, probability statistics are meaningless when convenience sampling is done. The researcher cannot claim to "generalize" their findings to any particular population. You probably could not accurately (i.e., within a couple percentage points) predict an election result based only on what your friends say. Therefore most typical statistical studies would avoid convenience sampling. It may be very useful for qualitative studies, but less so for quantitative work.
What are King of the Hill ratings?
They are a measure of the number of people watching King of the Hill, based on a statistical sampling.
What is statistical data?
Statistical data are numbers that are based on a sampling of a population to predict an outcome. The accuracy depends on the sample number and error and confidence and other analysis.
What does it mean when tests are chi-square based?
A chi-squared test is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
What are the advantages and disadvantages of using a statistical model?
The importance of statistical modeling is obvious because we often need modelling for the purpose of prediction, to describe the phenomena and many procdures in statistics are based on assumption of a statistical model. Modeling is also important for statistical inference and make decision about population parameter. M. Yousaf Khan
Discuss the utility of statistics as a managerial tool Also describe its limitations?
The limitation of any statistical application is the fact that it always depends on some sampling. If this sampling is incomplete, or not representative of your actual base (say customers), your data may not yield accurate conclusions. Additionally, since it depends on sampling, your measurement is only applicable to a base that fits the profile of your sampling. For instance, if you took your sampling from Caucasian males over age 35, and it turns out your customer base has a large number of African, American females under 23, your conclusions based on the statistics could be imperfect.
What happens When a random sampling frame has a systematic pattern in the listing of sampling units rather than a random pattern?
You get a non-random sample and any analysis based on the assumption of randomly distributed variables is no longer valid. In particular, your estimates of any variables are likely to be biased and your error estimates (standard errors or sample variances) will be incorrect. Any inferences based on statistical tests will be less reliable and may be wrong.
When every Member of a population has the chance of being selected based on probability what type of sampling is this?
Simple random sampling.
Is the chi square analysis a statistical test?
It can be, but it is also a statistical distribution in its own right - on which the test is based.
What is convenience sampling in statistics?
It is a form of nonrandom sampling. In essence it means obtaining observations that are easiest to get. For example, asking your friends how they plan to vote would be a political poll based on a convenience sample. Many types of formal, probability statistics are meaningless when convenience sampling is done. The researcher cannot claim to "generalize" their findings to any particular population. You probably could not accurately (i.e., within a couple percentage points) predict an election result based only on what your friends say. Therefore most typical statistical studies would avoid convenience sampling. It may be very useful for qualitative studies, but less so for quantitative work.
What is the broad-based statistical standard?
National Average
What is the broad based statistical standard?
National Average
