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What else can I help you with?
Is a parameter a measurable characteristic of a sample?
this is false... a parameter is a measure of a mean or mode, a measurable characteristic of a sample is called a statistic.
What is the difference between a parameter and a statistic?
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
What is the the relationship between population and sample parameter and statistic?
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
What sample size is sufficient for stat?
A sample size of one is sufficient to enable you to calculate a statistic.The sample size required for a "good" statistical estimate will depend on the variability of the characteristic being studied as well as the accuracy required in the result. A rare characteristic will require a large sample. A high degree of accuracy will also require a large sample.
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.
Is a parameter a measurable characteristic of a sample?
this is false... a parameter is a measure of a mean or mode, a measurable characteristic of a sample is called a statistic.
What is the difference a parameter and a statistic?
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
What is the difference between a parameter and a statistic?
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
What is the purpose of a sampling distribution?
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.
Is The average annual salary for 35 of a companys 1200 accountants is 57000. This describes a parameter?
No, this description does not represent a parameter; it refers to a statistic. A parameter is a value that describes a characteristic of an entire population, while a statistic describes a characteristic of a sample. In this case, the average salary of $57,000 pertains to a sample of 35 accountants out of the total population of 1,200 accountants in the company.
What is statisic?
A statistic is a number computed from a sample. For example, the average length of stay in the birth hospital for a random sample of 387 infants born in Johnson County, Kansas 387 would be the statistic
What is significant and not significant number?
What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.
A Numerical Measure from a Sample Such as a Sample Mean Is Known?
sample statistic
What is the difference between 2 sample z test statistic and 2 sample t test statistic?
erwtwertgrtewh
What is the description of sample?
Statistic
What is the the relationship between population and sample parameter and statistic?
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
What is the general term for describing individual units of a sample?
Respondent
