0
Add your answer:
Earn +20 pts
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.
What is a numerical summary of a sample?
That is the definition of a statistic
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.
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 description of sample?
Statistic
What is the difference between 2 sample z test statistic and 2 sample t test statistic?
erwtwertgrtewh
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.
What is the general term for describing individual units of a sample?
Respondent
