Statistics
statistics
a biased sample is valid determin
Many statistical statements for a population which are based on a sample are not valid if the sample is not representative.
no
1) What conditions are required to form a valid large-sample confidence interval for µ?
Because without representative sample, your results will not be valid.
at random to represent the population
The temperature of a urine sample should be around 98.6 degrees Fahrenheit (37 degrees Celsius) to be considered valid.
30 min
Providing of course that a sample is representative of the population from which it is drawn, the bigger it is the more likely it will be to lead to a valid conclusion. Therefore, the best sample size when there are no restrictions, as in this case, would be one of 1000.
No because in statistics a biased collection of data is invalid.
Statistically the results will not be scientifically valid if the sample size is too small.