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It means that every member of the population has the same probability of being included in the sample.

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15y ago

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What does SRS mean in statistics?

Simple Random Sample


When you draw a sample from a normal distribution what can you conclude about the sample distribution?

The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.


A simple random sample of 64 observations was taken from a large population The sample mean and the standard deviation were determined to be 320 and 120 respectively The standard error of the mean you?

15


Why wont a sample statistics change from sample to sample?

The sample mean may differ from the population mean, especially for small samples.


What are the advantages and disadvantages of random sampling?

The main advantage is that the sample is representative of the population and the mean of the sample is an unbiased estimate of the population mean. Also, characteristics of other statistics based on the sample are well understood. However, sometimes it may not be possible to gather valid information from a sampling unit and then the sample is no longer random. This can be either because the sampling unit cannot be located or has been compromised by external factors. This can be particularly serious if the "missing" units share a common characteristic. Also, simple random samples may not include any units representing characteristics that are rare in the population - but important in the context of the experiment.


In a large population 46 percent of the households own VCRs a simple random sample of 100 households is to be contacted and the sample proportion computed the mean of the sampling distribution of the?

i THINK IT IS .05


What is population mean in statistics?

The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.


What is a numerical value used as a summary measure for a sample called such as a sample mean?

sampl statistics


What does random means?

The word random is used to describe a lack of pattern or organisation in behaviour. It may have very specific technical meanings in mathematics / statistics however. In math the term random usually means not able to be predicted or happening by chance. It implies a lack of order. In statistics we use the term random variable to mean a rule that applies a numerical outcome to each event in a sample space. More generally in statistics randomness means a lack of correlation or a lack of bias.


What is the formula for calculating the mean of a sample, represented by the symbol "" in statistics?

The formula for calculating the mean of a sample, represented by the symbol "" in statistics, is to add up all the values in the sample and then divide by the total number of values in the sample. This can be written as: x / n, where x represents the sum of all values in the sample and n is the total number of values in the sample.


Are Greek letters used for statistics or for parameters?

Greek letters are used for population parameters. Eg: µ is the population mean English letters are used for sample statistics. Eg: x-bar is the sample mean


What does s-hat mean in statistics?

It is the estimate for s, the sample standard deviation.